Senior ML Compiler Engineer

Senior ML Compiler Engineer page is loadedSenior ML Compiler EngineerApply remote type Remote locations Mountain View, California, United States of America time type Full time posted on Posted 20 Days Ago job requisition id JR-202510490Job DescriptionRemote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.Role: We are looking for a deep learning compiler engineer to build out our ML compiler for deploying machine learning models to a variety of ML hardware accelerators. You will develop and enhance GM's internal ML compiler for high performance, usability, and retargetability by leveraging open-source technology like MLIR and LLVM. The Autonomous Vehicle (AV) software stack heavily relies on machine learning to perform various critical tasks. In this role, you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g., Computer Vision, Perception, platform) to scope out system requirements while engaging with AV hardware teams to understand the target hardware platform and its constraints. What You’ll DoBuild out a retargetable compiler pipeline for on-car ML acceleratorsBuild tooling to improve the usability of the compiler, enabling ML engineers to understand deployability , performance and accuracy of compiled ML modelsSupport deployment of innovative ML models on the carInfluence compiler architecture decisions and strategy within GMAdditional Job DescriptionYour Skills & Abilities:3+ years of experience in the field of compilersExperience with ML frameworks (e.g., PyTorch , TensorFlow , JAX ) and software stack (e.g., MLIR, XLA, TVM, TensorRT , etc )Expertise in writing production quality Python/ C++ codeExpertise in the software development life-cycle - coding, debugging, optimization, testing, integrationBS, or higher degree, in CS/CE/EE, or equivalentWhat will give you a competitive edgeExperience developing and deploying machine learning modelsGPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN , cuBLAS )Experience with ML accelerators and hardware architectureCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.The salary range for this role is $134,000-$235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.Benefits:Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.Relocation : This job may be eligible for relocation benefits.About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources .Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.Similar Jobs (5)Senior ML Engineer, ML Compute Platformremote type Hybrid locations 2 Locations time type Full time posted on Posted 4 Days AgoStaff ML Engineer, ML Orchestrationremote type Hybrid locations 2 Locations time type Full time posted on Posted 4 Days AgoStaff ML Engineer, ML Orchestrationremote type Hybrid locations 2 Locations time type Full time posted on Posted 4 Days AgoWe are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. 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Created: 2025-09-18