Senior Research Engineer - Inference ML

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p data-renderer-start-pos=&quot;1364&quot;&gt;&lt;strong data-renderer-mark=&quot;true&quot;&gt;About The Role&lt;/strong&gt;&lt;/p&gt;
&lt;p data-renderer-start-pos=&quot;1380&quot;&gt;The Inference ML team at Cerebras Systems is dedicated to enabling seamless integration of machine learning (ML) frameworks with our cutting-edge software and hardware ecosystem. Our mission is to empower developers and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. By bridging the gap between popular ML frameworks, like PyTorch, and our deeply optimized stack, we aim to provide tools that make developing and deploying ML models efficient and accessible. The team works closely with cross-functional groups, including hardware engineers, compiler developers, and product teams, to deliver high-impact solutions that redefine the boundaries of ML performance and usability.&lt;/p&gt;
&lt;p data-renderer-start-pos=&quot;2128&quot;&gt;As a Senior Software Engineer on the Inference ML team, you will play a key role in designing and implementing APIs and tools that simplify the process of running user-defined ML models on our platform. You will architect solutions that enable seamless model translation and execution, ensuring high throughput and low latency while maintaining ease of use. Your responsibilities will include collaborating with other engineering teams to enhance the developer experience, supporting a wide range of ML workloads, and laying the groundwork for future support of additional frameworks. This role offers an opportunity to shape the evolution of our ML ecosystem while tackling complex technical challenges at the intersection of machine learning, software, and hardware.&lt;/p&gt;
&lt;p data-renderer-start-pos=&quot;2899&quot;&gt;&lt;strong data-renderer-mark=&quot;true&quot;&gt;Responsibilities&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li data-renderer-start-pos=&quot;2919&quot;&gt;Lead and provide technical guidance to a team of machine learning engineers working on complex machine learning integration projects.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3056&quot;&gt;Design and implement scalable and efficient integrations with popular machine learning frameworks, such as PyTorch, while ensuring compatibility with future frameworks.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3228&quot;&gt;Analyze the characteristics of various ML models to make informed design decisions for scalable, intuitive, and user-friendly APIs.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3363&quot;&gt;Optimize software to accelerate ML model training and ensure high throughput and low latency during inference.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3477&quot;&gt;Stay up-to-date with advancements in machine learning and deep learning, and apply state-of-the-art techniques to enhance our solutions.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3617&quot;&gt;Evaluate trade-offs between different approaches, clearly articulate design choices, and develop detailed proposals for implementing new features.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3767&quot;&gt;Build and maintain robust automated test suites to ensure software quality, performance, and reliability.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;3876&quot;&gt;Contribute to an agile team environment by delivering high-quality software and adhering to agile development practices.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4000&quot;&gt;Collaborate with cross-functional teams, including compiler engineers, kernel developers, and system architects, to integrate ML capabilities seamlessly into our products and services.&lt;/li&gt;
&lt;/ul&gt;
&lt;p data-renderer-start-pos=&quot;4188&quot;&gt;&lt;strong data-renderer-mark=&quot;true&quot;&gt;Skills And Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li data-renderer-start-pos=&quot;4204&quot;&gt;Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Mathematics, or a related field.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4312&quot;&gt;5+ years of experience in large-scale software engineering, with a focus on deep learning or related domains.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4425&quot;&gt;Proficiency in Python for building and maintaining scalable systems.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4497&quot;&gt;Advanced proficiency in C++, with an emphasis on multi-threaded programming, performance optimization, and system-level development.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4633&quot;&gt;Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or JAX, and a strong understanding of their underlying architectures.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4774&quot;&gt;Solid understanding of software architectural patterns for large-scale, high-performance applications.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4880&quot;&gt;Proven experience leading and mentoring software or machine learning engineers.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;4963&quot;&gt;In-depth knowledge of machine learning algorithms, theory, and best practices for developing production-ready software.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;5086&quot;&gt;Strong problem-solving skills, with the ability to balance technical depth with practical implementation constraints.&lt;/li&gt;
&lt;li data-renderer-start-pos=&quot;5207&quot;&gt;Exceptional communication and presentation skills, with the ability to work both independently and collaboratively across multidisciplinary teams.&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&amp;nbsp;&lt;/h4&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Sr. MTS - Inference ML Eng

Lead Data Architect, Quality & Reliability

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;&lt;span data-ccp-parastyle=&quot;heading 3&quot;&gt;Responsibilities&lt;/span&gt;&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;134245418&amp;quot;:true,&amp;quot;134245529&amp;quot;:true,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Drive reliability excellence across system designs (semiconductors, power delivery, thermal management, advanced packaging, PCBs, etc.) from concept to production, using a first-principles approach.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Address key reliability risks early in the development process by embedding reliability requirements into design specifications and BOM selection. &lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Develop and execute accelerated life tests for components, sub-assemblies, and systems.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Apply physics-of-failure models and tools to predict reliability under operational stresses, and quantify the impact of design choices.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Simulate reliability of complex electronic systems using software such as Ansys Sherlock.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Lead FMEA (Failure Modes and Effects Analysis) and other risk analysis methodologies to identify reliability risks, prioritize mitigation strategies, and translate root-cause findings from failure analysis into design/process improvements.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Champion reliability culture through training, tool development, and data-driven recommendations to stakeholders, including executive leadership.&lt;/span&gt; &amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;none&quot;&gt;&lt;span data-ccp-parastyle=&quot;heading 3&quot;&gt;Skills &amp;amp; Qualifications&lt;/span&gt;&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;134245418&amp;quot;:true,&amp;quot;134245529&amp;quot;:true,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&lt;span data-contrast=&quot;none&quot;&gt;&lt;span data-ccp-parastyle=&quot;heading 4&quot;&gt;Required:&lt;/span&gt;&lt;/span&gt;&lt;/em&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134245418&amp;quot;:true,&amp;quot;134245529&amp;quot;:true,&amp;quot;335559738&amp;quot;:80,&amp;quot;335559739&amp;quot;:40}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Bachelor’s degree in Electrical Engineering, Materials Science, Mechanical Engineering, or a related field.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;5+ years of experience in Design for Reliability (DfR) for complex electronics systems.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Deep technical expertise in electronics component and system reliability, including failure modes for PCBs (e.g. solder joint fatigue, via cracking, corrosion) and system-level risks (e.g. thermal mismatch, vibration, power noise).&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Experience designing failure mode-driven accelerated life tests for chips, packaging, or systems, based on first principles fundamentals.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Familiarity with statistical software for reliability (e.g. JMP, ReliaSoft suite) and with reliability simulation tools (e.g. Ansys Sherlock, COMSOL).&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Demonstrated ability to lead cross-functional teams and facilitate FMEAs.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;em&gt;&lt;span data-contrast=&quot;none&quot;&gt;&lt;span data-ccp-parastyle=&quot;heading 4&quot;&gt;Pref&lt;/span&gt;&lt;span data-ccp-parastyle=&quot;heading 4&quot;&gt;erred:&lt;/span&gt;&lt;/span&gt;&lt;/em&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134245418&amp;quot;:true,&amp;quot;134245529&amp;quot;:true,&amp;quot;335559738&amp;quot;:80,&amp;quot;335559739&amp;quot;:40}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Master’s or PhD in a relevant field.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335557856&amp;quot;:16777215,&amp;quot;335559738&amp;quot;:0,&amp;quot;335559739&amp;quot;:0}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Coding experience for reliability modeling and data analysis (e.g. Python).&lt;/span&gt;&lt;/li&gt;
&lt;li&gt;&lt;span data-contrast=&quot;none&quot;&gt;Knowledge of advanced IC packaging technologies.&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;&lt;span data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:10,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:240,&amp;quot;335559991&amp;quot;:10}&quot;&gt;&amp;nbsp;The base salary range for this position is $175,000 to $250,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Design-for-Reliability Engineer

Lead Data Architect Quality & Reliability

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=&quot;elementToProof&quot;&gt;&lt;strong&gt;About The Role&lt;/strong&gt;&lt;/div&gt;
&lt;div class=&quot;elementToProof&quot;&gt;Join Cerebras as a Performance &amp;amp; Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras&#39; breakthrough hardware.&lt;/div&gt;
&lt;div class=&quot;elementToProof&quot;&gt;&amp;nbsp;&lt;/div&gt;
&lt;div class=&quot;elementToProof&quot;&gt;&lt;strong&gt;Responsibilities&lt;/strong&gt;&lt;/div&gt;
&lt;ul&gt;
&lt;li&gt;Characterize and enhance the performance and reliability of advanced ML hardware/software systems, with emphasis on reducing power and thermal fluctuations.&lt;/li&gt;
&lt;li&gt;Analyze ML workloads, software kernels, and hardware architecture for power and performance impacts, and synthesize high-level insights across these layers.&lt;/li&gt;
&lt;li&gt;Develop creative software solutions to improve reliability and performance, collaborating cross-functionally to deploy these solutions in production.&lt;/li&gt;
&lt;li&gt;Influence the design of Cerebras&#39; next-generation AI architecture and software stack through rigorous workload analysis and computational efficiency optimization.&lt;/li&gt;
&lt;li&gt;Partner with ML engineers, researchers, and reliability specialists to understand model behavior and drive system-level improvements from a software perspective.&lt;/li&gt;
&lt;li&gt;Collaborate with teams in architecture, silicon, and research to advance our computational platforms and influence future system designs.&lt;/li&gt;
&lt;/ul&gt;
&lt;div class=&quot;elementToProof&quot;&gt;&lt;strong&gt;Skills &amp;amp; Qualifications&lt;/strong&gt;&lt;/div&gt;
&lt;ul&gt;
&lt;li&gt;BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field.&lt;/li&gt;
&lt;li&gt;3+ years of relevant experience in performance engineering, reliability, computer architecture, and/or software design.&lt;/li&gt;
&lt;li&gt;Proficiency in Python or other scripting languages.&lt;/li&gt;
&lt;li&gt;Experience with C/C++ and assembly programming.&lt;/li&gt;
&lt;li&gt;Demonstrated expertise with system-level performance and reliability optimization.&lt;/li&gt;
&lt;li&gt;Strong verbal and written communication skills.&lt;/li&gt;
&lt;li&gt;Nice to have: Hands-on experience with ML models, ML frameworks, and collective communication.&lt;/li&gt;
&lt;li&gt;Nice to have: Understanding of thermal management principles and power delivery for advanced semiconductors.&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Performance Reliability Engineer

<div>Lead is a fintech building banking infrastructure for embedded financial products and services. We operate an FDIC-insured bank headquartered in Kansas City, Missouri.&nbsp; Additionally, we have offices in San Francisco, Sunnyvale, and New York City, where our technical, product, design, and legal teams operate.</div><div>&nbsp;</div><div>We are built for a constantly evolving financial landscape, where new ventures and technological advancements emerge daily. Guided by a team of entrepreneurs and technologists with decades of experience navigating intricate banking and payments regulations, Lead blends regulatory and technological expertise to help our fintech partners scale their operations with compliance and creativity.</div><div><br></div><div>Simply put, Lead offers the essential attributes that every fintech seeks in a partner bank. First, unparalleled technical expertise from a distinguished team of developers with an extensive understanding of the banking and payments systems. Second, oversight expertise, automated compliance systems, and bespoke program management to navigate the ever-shifting regulatory landscape. Finally, a commitment to transparency and operational rigor to ensure everyone’s money does what it’s supposed to do.</div><div><br></div><div><b>Role Description</b></div><div>The Data Analyst for the Product Finance team will play a critical, cross-functional role in ensuring the accuracy, integrity, and timely delivery of financial data streams related to our Banking-as-a-Service (BaaS) programs. This position is central to the operational success of the Product Finance function, requiring a blend of strong data analysis skills, financial acumen, and an expert ability to manage complex data and reporting structures. You will be the team's subject matter expert on data flow from core systems like Finxact and external Partner Files, directly supporting financial reporting and internal controls.</div>

Data Analyst, Product Finance

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;div class=&quot;p-pdf_viewer_thumbnail&quot;&gt;
&lt;div data-page-number=&quot;1&quot;&gt;&amp;nbsp;&lt;/div&gt;
&lt;/div&gt;
&lt;div id=&quot;pdf_viewer&quot; class=&quot;p-pdf_viewer__content&quot;&gt;
&lt;div class=&quot;p-pdf_iframe__page&quot; data-page-number=&quot;2&quot;&gt;
&lt;div class=&quot;textLayer&quot; data-main-rotation=&quot;0&quot;&gt;
&lt;p&gt;&lt;strong&gt;&lt;u&gt;The Role:&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Reliability and Failure Analysis Technician will be responsible for performing detailed root cause analysis on Cerebras products and delivering comprehensive reports on findings. This role requires extensive hands-on lab work, including troubleshooting, measurement, precision inspection, repair, and assembly of company products and sub-assemblies. The Technician will execute product audits from the manufacturing line, perform GD&amp;amp;T-based dimensional inspections using CMM tools, and validate product functionality and reliability through structured testing and measurement experiments.&lt;/p&gt;
&lt;p&gt;This position also supports reliability testing and AI hardware validation to ensure long-term performance, durability, and mechanical integrity under demanding AI workloads. Collaboration with Engineering, Manufacturing Engineering, Quality Assurance, and Technical Support teams is essential to drive continuous improvement and product insights.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;u&gt;Responsibilities:&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Conducts root cause failure analysis on Cerebras products and publishes detailed reports with supporting data, images, and conclusions.&lt;br&gt;• Performs dimensional inspections and GD&amp;amp;T validation on critical mechanical and electronic assemblies using CMM, optical measurement tools, and precision gauges.&lt;br&gt;• Executes cross-sectioning and microscopy analysis to identify solder joint defects, delamination, voiding, and interconnect quality across components and substrates.&lt;br&gt;• Troubleshoots, repairs, and reworks complex assemblies at the component and board level, including electronic, thermal, and mechanical interfaces.&lt;br&gt;• Designs and conducts measurement and correlation experiments to evaluate mechanical tolerance stack-ups, solder integrity, and part-to-part variability.&lt;br&gt;• Performs reliability and AI hardware validation testing using temperature chambers, leak testers, pressure testers, and other specialized test tools to simulate operational conditions.&lt;br&gt;• Conducts product audits from the manufacturing line, verifying both functional and dimensional conformity to design intent and reliability standards.&lt;br&gt;• Manages and maintains Failure Analysis and Reliability Lab infrastructure, ensuring tools, fixtures, and instruments (CMM, X-ray, CSAM, microscopes) are calibrated and operational.&lt;br&gt;• Supports documentation, training, and process improvement efforts across Reliability, Quality, and Manufacturing teams.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;&lt;u&gt;Skills &amp;amp; Qualifications:&lt;/u&gt;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;10+ years of experience in a manufacturing, reliability, or lab environment, with 5+ years in testing, troubleshooting, measurement, and repair of high-complexity electronic or electromechanical systems.&lt;br&gt;• Proven expertise in failure analysis methods (electrical, mechanical, and material), including fault isolation, signal tracing, and root cause determination.&lt;br&gt;• Strong understanding of GD&amp;amp;T principles, dimensional tolerance analysis, and part inspection methods.&lt;br&gt;• Hands-on experience with CMM, digital microscopes, laser profilometers, and precision measurement tools.&lt;br&gt;• Skilled in cross-sectioning, polishing, and sample preparation for microstructural or solder joint analysis.&lt;br&gt;• Proficiency in X-ray, CSAM, and optical microscopy for detecting voids, cracks, and interfacial defects.&lt;br&gt;• Experience with AI hardware validation and reliability stress testing under thermal and mechanical load conditions.&lt;br&gt;• Advanced soldering and desoldering skills (SMT, BGA, and lead-free).&lt;br&gt;• Ability to read and interpret engineering drawings, schematics, and GD&amp;amp;T feature control frames.&lt;br&gt;• Excellent analytical, documentation, and problem-solving skills.&lt;br&gt;• Self-directed, detail-oriented, and able to collaborate effectively across multiple engineering disciplines.&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;p&gt;&lt;span data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:10,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:240,&amp;quot;335559991&amp;quot;:10}&quot;&gt;&amp;nbsp;The base salary range for this position is $180,000 to $250,000 annually.&amp;nbsp; Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:10,&amp;quot;335559739&amp;quot;:50,&amp;quot;335559740&amp;quot;:248,&amp;quot;335559991&amp;quot;:10}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Reliability and Failure Analysis Technician 

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;strong&gt;The Role:&lt;/strong&gt;&lt;br&gt;The Reliability Testing Engineer will be responsible for developing, executing, and analyzing reliability test programs to ensure the long-term performance and robustness of complex electronic and electromechanical systems. This role involves hands-on testing across thermal, mechanical, and electrical domains, as well as statistical analysis to characterize product lifetime and identify potential failure mechanisms.&lt;/p&gt;
&lt;p&gt;The engineer will design test setups, define stress profiles, manage instrumentation and data collection, and collaborate with cross-functional teams to translate reliability results into actionable design and process improvements. This position requires close interaction with Reliability, Failure Analysis, Design, Quality, and Manufacturing teams.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop and execute reliability test plans such as Accelerated Life Testing (ALT), Environmental Stress Screening (ESS), and Highly Accelerated Stress Testing (HAST).&lt;br&gt;• Design and implement test fixtures, instrumentation setups, and monitoring systems for mechanical, thermal, and electrical reliability experiments.&lt;br&gt;• Establish test conditions, durations, and sample sizes using physics-of-failure and statistical reliability modeling.&lt;br&gt;• Perform environmental testing (temperature cycling, humidity, vibration, and pressure) to simulate real-world stresses.&lt;br&gt;• Configure and monitor data acquisition systems (pressure, temperature, current, flow, etc.) to ensure high-quality test data.&lt;br&gt;• Conduct failure correlation and root cause analysis in partnership with the Failure Analysis team.&lt;br&gt;• Apply Weibull and Arrhenius modeling to analyze failure distributions and estimate lifetime metrics (MTTF, MTBF).&lt;br&gt;• Support design-of-experiment (DOE) studies to validate material, assembly, or design changes for reliability impact.&lt;br&gt;• Coordinate with vendors and internal teams to ensure test equipment calibration, readiness, and repeatability.&lt;br&gt;• Document all results, prepare detailed reliability test reports, and present findings to stakeholders.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Skills &amp;amp; Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;BS or MS in Mechanical, Electrical, or Reliability Engineering, or equivalent technical discipline.&lt;br&gt;• 5+ years of experience in reliability or environmental testing for electronic or electromechanical products.&lt;br&gt;• Strong understanding of reliability standards and methods (JEDEC, IPC, MIL-STD, ASTM, AEC-Q100).&lt;br&gt;• Hands-on experience in thermal cycling, vibration, humidity, or mechanical fatigue testing.&lt;br&gt;• Familiarity with data acquisition tools and test automation (LabVIEW, Python, PLCs, or equivalent).&lt;br&gt;• Experience performing or interpreting statistical reliability analysis (Weibull, lognormal, MTTF/MTBF).&lt;br&gt;• Knowledge of GD&amp;amp;T, metrology, and mechanical inspection tools such as calipers, micrometers, and CMMs.&lt;br&gt;• Exposure to cross-sectioning, microscopy, and precision measurement for failure validation is a plus.&lt;br&gt;• Strong communication and documentation skills with the ability to summarize complex findings clearly.&lt;br&gt;• Highly organized, detail-oriented, and comfortable working in a fast-paced, lab-based environment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;span data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:10,&amp;quot;335559739&amp;quot;:0,&amp;quot;335559740&amp;quot;:240,&amp;quot;335559991&amp;quot;:10}&quot;&gt;&amp;nbsp;The base salary range for this position is $180,000 to $250,000 annually.&amp;nbsp; Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-ccp-props=&quot;{&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:10,&amp;quot;335559739&amp;quot;:50,&amp;quot;335559740&amp;quot;:248,&amp;quot;335559991&amp;quot;:10}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Reliability Testing Engineer

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;h4 class=&quot;x_elementToProof&quot;&gt;Responsibilities&lt;/h4&gt;
&lt;ul data-stringify-type=&quot;unordered-list&quot; data-list-tree=&quot;true&quot; data-indent=&quot;0&quot; data-border=&quot;0&quot;&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Drive the design of MEP infrastructure—reviewing drawings and proposals across all project stages.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Partner with vendors to spec, source, and manage key systems: generators, UPS, chillers, CDUs.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Provide deep technical guidance on facility architecture, equipment, and operational systems—anchored in industry best practices.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Integrate power, cooling, network, and construction systems into a cohesive data center design and operational model.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Shape operational workflows—from design specs through commissioning, pilot validation, and go-live readiness.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Set technical direction for internal teams and external partners—ensuring alignment with standards and execution excellence.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Manage contractors and consultants—building strong vendor relationships.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Ensure uptime and performance of critical infrastructure—power, cooling, and networking systems.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Own QA and risk mitigation—ensuring safety and operational compliance.&lt;/li&gt;
&lt;/ul&gt;
&lt;div class=&quot;x_elementToProof&quot;&gt;
&lt;h4 class=&quot;x_elementToProof&quot;&gt;Skills &amp;amp; Qualifications&amp;nbsp;&lt;/h4&gt;
&lt;/div&gt;
&lt;ul data-stringify-type=&quot;unordered-list&quot; data-list-tree=&quot;true&quot; data-indent=&quot;0&quot; data-border=&quot;0&quot;&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;10+ years in data center design, operations, and maintenance.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Proven leadership in large-scale data center environments.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Deep expertise in MEP systems and critical infrastructure.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Strong grasp of data center architecture, workflows, and systems integration.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Hands-on experience with critical equipment and vendor management.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Track record of successful equipment selection, installation, and bring-up.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Experience navigating regulatory compliance and design standards.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Clear communicator and collaborator across engineering and business teams.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Solid understanding of construction and architectural principles.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Bachelor’s in engineering or related field; advanced degree preferred.&lt;/li&gt;
&lt;li class=&quot;x_elementToProof&quot;&gt;Professional engineering certification preferred.&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

Data Center Engineer

&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras Systems builds the world&#39;s largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&amp;nbsp;&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;201341983&amp;quot;:0,&amp;quot;335559685&amp;quot;:0,&amp;quot;335559737&amp;quot;:240,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240,&amp;quot;335559740&amp;quot;:279}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;none&quot;&gt;Cerebras&#39; current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.&lt;/span&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;In late 2024, we launched Cerebras Inference, the fastest Generative AI inference service in the world, over 10 times faster than GPU-based hyperscale cloud inference. Since launch, we’ve scaled to meet the surging demand from AI labs, enterprises, and a thriving developer community.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;In October 2025, we announced our series G funding, raising $1.1 billion USD to accelerate the expansion of our products and services to meet global AI demand.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;auto&quot;&gt;About the team&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;The Cerebras Inference team’s mission is to deliver the world’s most performant, secure, and reliable enterprise-grade AI service. We build and operate large-scale distributed systems that power AI inference at unprecedented speed and efficiency. Join us to help scale inference and accelerate AI.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;auto&quot;&gt;About the role&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;We’re looking for a hands-on Reliability Tech Lead (IC) to own the mission of making Cerebras Inference the most reliable AI service in the world. You will drive reliability strategy and execution across our inference stack, from client SDKs and public-cloud multi-region deployments to wafer-scale systems in specialized data centers.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;In this role, you will define SLOs and incident-response frameworks, design and implement reliability mechanisms at scale, and partner across hundreds of engineers to ensure our service meets world-class reliability standards.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span data-contrast=&quot;auto&quot;&gt;If you are passionate about building and operating massive-scale, low-latency, high-reliability distributed systems, we want to hear from you.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Responsibilities:&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;1&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Define and drive reliability strategy: establish SLOs&amp;nbsp;and ensure alignment across engineering.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;2&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Design and implement reliability mechanisms: build and evolve systems for fault detection, graceful degradation, failover, throttling, and recovery across multiple regions and data centers.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;3&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Lead large-scale incident management: own postmortems, root-cause analysis, and prevention loops for reliability-related incidents.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;4&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Architect for reliability and observability: influence system design for redundancy, durability, and debuggability.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;5&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Develop reliability tooling: create internal tools and frameworks for chaos testing, load simulation, and distributed fault injection.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;6&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Collaborate broadly: work across software, infrastructure, and hardware teams to ensure reliability is embedded into every layer of our inference service.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;7&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Monitor and communicate reliability metrics: build dashboards and alerts that measure service health and provide actionable insights.&lt;/span&gt;&lt;span data-ccp-props=&quot;{&amp;quot;134233117&amp;quot;:false,&amp;quot;134233118&amp;quot;:false,&amp;quot;335559738&amp;quot;:240,&amp;quot;335559739&amp;quot;:240}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;10&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559683&amp;quot;:0,&amp;quot;335559684&amp;quot;:-2,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;8&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Mentor and influence: guide engineers and set best practices for designing, testing, and operating reliable large-scale systems.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Skills &amp;amp; Qualifications:&lt;/span&gt;&lt;/strong&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;2&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;1&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Bachelor&#39;s or master&#39;s degree in computer science or related field.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;2&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;2&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;2&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;3&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Strong programming skills in at least one popular backend programming language such as Python, C++, Go, or Rust.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;2&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;4&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Deep and hard-earned experience of reliability principles: SLO/SLI/SLA design, incident response, and postmortem culture.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;2&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;5&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Excellent communication and cross-functional leadership skills.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;ul&gt;
&lt;li data-leveltext=&quot;&quot; data-font=&quot;Symbol&quot; data-listid=&quot;2&quot; data-list-defn-props=&quot;{&amp;quot;335552541&amp;quot;:1,&amp;quot;335559685&amp;quot;:720,&amp;quot;335559991&amp;quot;:360,&amp;quot;469769226&amp;quot;:&amp;quot;Symbol&amp;quot;,&amp;quot;469769242&amp;quot;:[8226],&amp;quot;469777803&amp;quot;:&amp;quot;left&amp;quot;,&amp;quot;469777804&amp;quot;:&amp;quot;&amp;quot;,&amp;quot;469777815&amp;quot;:&amp;quot;hybridMultilevel&amp;quot;}&quot; data-aria-posinset=&quot;6&quot; data-aria-level=&quot;1&quot;&gt;&lt;span data-contrast=&quot;auto&quot;&gt;Bonus: prior experience building large-scale AI infrastructure systems.&lt;/span&gt;&lt;span data-ccp-props=&quot;{}&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;h4&gt;&lt;strong&gt;Why Join Cerebras&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection&amp;nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;Build a breakthrough AI platform beyond the constraints of the GPU.&lt;/li&gt;
&lt;li&gt;Publish and open source their cutting-edge AI research.&lt;/li&gt;
&lt;li&gt;Work on one of the fastest AI supercomputers in the world.&lt;/li&gt;
&lt;li&gt;Enjoy job stability with startup vitality.&lt;/li&gt;
&lt;li&gt;Our simple, non-corporate work culture that respects individual beliefs.&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;Read our blog:&amp;nbsp;&lt;a href=&quot;https://www.cerebras.net/blog/5-reasons-to-join-cerebras&quot; target=&quot;_blank&quot; data-auth=&quot;NotApplicable&quot; data-linkindex=&quot;0&quot;&gt;Five Reasons to Join Cerebras in 2025.&lt;/a&gt;&lt;/p&gt;
&lt;h4&gt;Apply today and become part of the forefront of groundbreaking advancements in AI!&lt;/h4&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&amp;nbsp;&lt;/em&gt;&lt;em&gt;We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. &lt;/em&gt;&lt;em&gt;We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.&lt;/em&gt;&lt;/p&gt;
&lt;hr&gt;
&lt;p&gt;&lt;em&gt;This website or its third-party tools process personal data. For more details, click &lt;a href=&quot;https://www.cerebras.net/privacy/&quot; target=&quot;_blank&quot;&gt;here&lt;/a&gt; to review our CCPA disclosure notice.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;

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