Machine Learning Compiler Engineer
About The Position
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 Qualcomm AI Software department is looking for ML Compiler engineers to join us. Our team is working on advancing machine learning compiler technologies for cutting-edge AI accelerators for the Cloud and Datacenter market. 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. Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. We have open positions spanning 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 hiring across locations - Raleigh, New York and San Diego.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Nice To Haves
- Master's degree in Computer Science, Engineering, Electrical Engineering, Applied Mathematics or related field.
- Experience with compiler development and computer architecture
- Experience with software engineering
- Solid intellectual ability, motivation, and a strong history of achievement
- Excellent oral and written communication skills
- Experience with LLVM, MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, and/or Triton
- 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
Responsibilities
- Innovate new ML compiler and optimization algorithms
- Improve ML compiler optimization capabilities through ML model analysis and profiling
- For senior levels - Lead and manage projects while doing substantial technical work
Benefits
- competitive annual discretionary bonus program
- opportunity for annual RSU grants
- highly competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
