Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin, Detroit, Warren, Milford or 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 Do
Your Skills & Abilities:
What will give you a competitive edge
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.
Relocation: This job may be eligible for relocation benefits.
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