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Munich, Germany
Actively hiring, first seen by us 7 days agoCurrently enrolled in a Master's program in
Design and implement ML compiler passes and optimizations for custom ASICs
Build developer tooling for the production ML compiler
Work with ML and embedded systems engineers across teams
Design and implement ML compiler passes and optimizations tailored for our custom ASIC architecture.
Develop intuitive tooling to elevate the developer experience of our production ML compiler.
Work closely with multi-disciplinary teams, ranging from ML to embedded system engineers.
Proficiency in at least one systems programming language (e.g., C++, Rust).
Experience with Python and its ecosystem.
Solid understanding of graph theory and graph algorithms.
Passion for compilers
- Experience with Python and its ecosystem. - Currently enrolled in a Master's program in Electrical Engineering, Robotics, Computer Science, or a related AI field. Nice to Have
Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers.
In the employer’s words · Read in context
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
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- Solid understanding of graph theory and graph algorithms. - Proficiency in at least one systems programming language (e.g., C++, Rust). - Experience with Python and its ecosystem.
- Proficiency in at least one systems programming language (e.g., C++, Rust). - Experience with Python and its ecosystem. - Currently enrolled in a Master's program in Electrical Engineering, Robotics, Computer Science, or a related AI field.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
On-site | Part-time (20 hours per week)
Artificial intelligence (AI) is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence!
At Tensordyne, we are at the forefront of cutting-edge AI hardware and software solutions. To keep pace in this dynamic, interdisciplinary field, we are seeking a Working Student in ML Compiler Engineering to contribute to the development of compilers for our custom ASICs.
This role offers an exciting opportunity to gain hands-on experience in full-stack compiler engineering while working alongside a team of experts in a fast-paced, innovative environment. If you are passionate about machine learning compilers, numerical programming, and performance optimization, we’d love to hear from you!
As a working student, you’ll gain valuable experience in a dynamic and innovative environment that thrives on curiosity and collaboration. This part-time role (20 hours per week) is based on-site at our Munich office..
The specific duties of this role will be shaped by both our business priorities and your individual interests.
Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
A note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
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Munich, Germany
On-site | Part-time (20 hours per week) About Tensordyne
This role offers an exciting opportunity to gain hands-on experience in full-stack compiler engineering while working alongside a team of experts in a fast-paced, innovative environment. If you are passionate about machine learning compilers, numerical programming, and performance optimization, we’d love to hear from you! As a working student, you’ll gain valuable experience in a dynamic and innovative environment that thrives on curiosity and collaboration. This part-time role (20 hours per week) is based on-site at our Munich office.. The specific duties of this role will be shaped by both our business priorities and your individual interests.
No clear work-authorization passage found. Eligibility is unconfirmed.