Job Details

Deep Learning Compiler Engineer

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 Do

• Build out a retargetable compiler pipeline for on-car ML accelerators
• Build tooling to improve the usability of the compiler, enabling ML engineers to understand deployability, performance and accuracy of compiled ML models
• Support deployment of innovative ML models on the car
• Influence compiler architecture decisions and strategy within GM

Your Skills & Abilities:

• 3+ years of experience in the field of compilers
• Experience 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++ code
• Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
• BS, or higher degree, in CS/CE/EE, or equivalent

What will give you a competitive edge:

• Experience developing and deploying machine learning models
• GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)
• Experience with ML accelerators and hardware architecture

Compensation: 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 $137,000-$210,400. 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: 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.

Remote: 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.