Sr ML Compiler Engineer

General Motors • Sunnyvale, CA

75d • $137,000 - $210,400

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Medical, dental, vision insurance
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees