Machine Learning Compiler Engineer

Location: New York

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group  Machine Learning Engineering General

Summary:

Job Description 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 (Lin Alg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVMSYCL 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.

ORMaster'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.

ORPhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

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 disabili 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…