(Additional locations: San Francisco CA, Sunnyvale CA)

We are looking for a deep learning compiler engineer to build out our ML compiler for deploying machine learning models on to a variety of ML hardware accelerators. You will develop and enhance Cruise'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 be doing

• Build out a retargetable compiler pipeline for the different 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 Cruise

What you must have:

• 3+ years of experience in the field of compilers
• Experience with ML frameworks (e.g., PyTorch, TensorFlow) and software stack (e.g., MLIR, XLA, TVM, TensorRT, etc)
• Expertise in writing production quality C++ code
• Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
• BS, or higher degree, in CS/CE/EE, or equivalent

Bonus points!

• Experience with ML frameworks (e.g., PyTorch, TensorFlow) and software stack (e.g., MLIR, XLA, TVM, TensorRT, etc)
• GPU programming (CUDA) and familiarity with ML SW stack (e.g., cuDNN, cuBLAS)
• Experience with ML accelerators and hardware architecture

The salary range for this position is $130,900 - 192,500. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, and benefits. These ranges are subject to change.