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Machine Learning Framework, Compiler & Performance Engineer

Location not identified

Pay
$104,800–154,800/yearAnnual period assumed · Location-specific pay — pay source
Pay range and Other Compensation & Benefits: $104,800.00 - $154,800.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Qualcomm

What you’ll work on

Full posting
  • Develop and evolve ML/AI compilers for high performance and low power on Qualcomm hardware

  • Couple PyTorch efficiently to Qualcomm ML/AI compiler flows

  • Build performance-driven simulation components in C++ and Python

  • Predict pre-silicon performance of ML algorithms

  • Run and debug performance simulations to suggest hardware and software fixes

From the employer’s posting
Contributing to the development and evolution of ML/AI compilers within Qualcomm
Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows.
Creation of performance-driven simulation components (using C++, Python)
Pre-Silicon prediction of performance for various ML algorithms
Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
  • Strong background in algorithm development and performance analysis
  • Strong problem-solving, analytical and debugging skills
  • Strong communication skills, written and verbal
Qualification wording
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Strong background in algorithm development and performance analysis is essential
Detail-oriented with strong problem-solving, analytical and debugging skills
Strong communication skills (written and verbal)
Education & alternatives
Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Tools in this posting

  • C++
  • Python
  • Docker
  • PyTorch
Source — Tool mentions in context
## Key Responsibilities: * Contributing to the development and evolution of ML/AI compilers within Qualcomm * Defining and implementing algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW * Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows. * Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design * Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms * Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs * Pre-Silicon prediction of performance for various ML algorithms * Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle framework, compute and system memory-related bottlenecks · Successful applications will work in cross-site, cross-functional teams.
The following experience would be significant assets: * Strong object-oriented design principles * Strong knowledge of C++ * Strong knowledge of Python * Experience in compiler design and development is an asset * Knowledge of network model formats/platforms (eg. Pytorch, ONNX) is a strong asset. * Knowledge of software development processes (revision control, CD/CI, etc.) · Familiarity with tools such as git, Jenkins, Docker, clang/MSVC * On-silicon debug skills of high-performance compute algorithms · Knowledge of algorithms and data structures * Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators Minimum Qualifications:

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 19, 2026 · 11 days ago
Recorded sightings
30
Last seen by us
Oct 31, 2026

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Job description

View original posting ↗

## Company: Qualcomm Canada ULC ## Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. New Position Purpose: As a member of Qualcomm’s ML Systems Team, you will participate in two activities: * Development and evolution of ML/AI compilers (production and exploratory versions) for efficient mappings of ML/AI algorithms on existing and future HW * Analysis of ML/AI algorithms and workloads to drive future features in Qualcomm’s ML HW/SW offerings ## Key Responsibilities: * Contributing to the development and evolution of ML/AI compilers within Qualcomm * Defining and implementing algorithms for compiling ML/AI workloads to achieve high performance and low power on Qualcomm HW * Creating and implementing algorithms that couple PyTorch framework efficiently to Qualcomm ML/AI Compiler flows. * Understanding trends in ML network design, through customer engagements and latest academic research, and how this affects both SW and HW design * Exploration and analysis of performance/area/power trade-offs for future HW and SW ML algorithms * Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs * Pre-Silicon prediction of performance for various ML algorithms * Running, debugging and analyzing performance simulations to suggest enhancements to Qualcomm hardware and software to tackle framework, compute and system memory-related bottlenecks · Successful applications will work in cross-site, cross-functional teams. Requirements: * Demonstrated ability to learn, think and adapt in fast changing environment * Detail-oriented with strong problem-solving, analytical and debugging skills * Strong communication skills (written and verbal) * Strong background in algorithm development and performance analysis is essential The following experience would be significant assets: * Strong object-oriented design principles * Strong knowledge of C++ * Strong knowledge of Python * Experience in compiler design and development is an asset * Knowledge of network model formats/platforms (eg. Pytorch, ONNX) is a strong asset. * Knowledge of software development processes (revision control, CD/CI, etc.) · Familiarity with tools such as git, Jenkins, Docker, clang/MSVC * On-silicon debug skills of high-performance compute algorithms · Knowledge of algorithms and data structures * Knowledge of computer architecture, digital circuits and event-driven transactional models/simulators Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. Pay range and Other Compensation & Benefits: $104,800.00 - $154,800.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer. If you would like more information about this role, please contact Qualcomm Careers.
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Pay
Pay range and Other Compensation & Benefits: $104,800.00 - $154,800.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.
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