Senior Deep Learning Compiler Engineer II

US Remote

We're Cruise, a self-driving service designed for the cities we love.

We’re building the world’s most advanced self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.

In our cars, you’re free to be yourself. It’s the same here at Cruise. We’re creating a culture that values the experiences and contributions of all of the unique individuals who collectively make up Cruise, so that every employee can do their best work. 

Cruise is committed to building a diverse, equitable, and inclusive environment, both in our workplace and in our products. If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, come join us. Even if you might not meet every requirement, we strongly encourage you to apply. You might just be the right candidate for us.


(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., …
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