Machine Learning Compiler Engineer

General Summary

If you’re interested in advancing and applying mathematics, programming languages theory, and advanced algorithms to program optimization for cutting‑edge machine learning accelerators, then you really want to be talking to us! The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers. Our technical approach to compilers emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges and using advanced mathematics and algorithms for performing optimizations. We are also solid in using “old school” compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are also keen about seeing our compilers used and having large impacts on Qualcomm’s business. Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. Our compiler targets include the Qualcomm Neural Signal Processor, Adreno GPUs, low‑power ML accelerators, and CPU accelerators. This job description spans multiple levels, from entry to experienced. Our team is a good home for compiler developers with advanced degrees, and we have solid mentoring and give substantial responsibility quickly for entry level engineers. The team is also open to multiple locations – San Diego, Santa Clara, Raleigh.

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Electrical Engineering, or related field.
• Experience with compiler development and computer architecture.
• ML experience.
• A degree in the field of computer science or applied mathematics.
• Experience with software engineering.
• Solid intellectual ability, motivation, and a strong history of achievement.
• Excellent oral and written communication skills.
• Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM.
• SYCL experience.
• ML applications and ML optimization experience.
• ML architecture experience.
• High‑performance computing experience.
• Polyhedral compiler optimization experience.
• Loop transformation and vectorization experience.
• GPU programming, parallel programming experience.
• General optimization experience.

Principal Duties and Responsibilities

• Work on a wide range of ML compilers.
• Improve ML compiler optimization capabilities through benchmark analysis and profiling.
• Innovate new ML compiler and optimization algorithms.
• Upstream compiler algorithms to open‑source compiler projects.
• Author research publications and represent the company in conferences and industry forums.
• For senior levels – Lead and manage projects while doing substantial technical work.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Equal Employment Opportunity

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‑View email address on click.appcast.io or call Qualcomm's toll‑free number. 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. Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Pay Range and Other Compensation & Benefits

$200,800.00 – $301,200.00. 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. 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.

If you would like more information about this role, please contact Qualcomm Careers.