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The Bot Company

ML Compiler

Posted 13 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA
200K-350K Annually
Expert/Leader
In-Office
San Francisco, CA
200K-350K Annually
Expert/Leader
As an ML Compiler Engineer, you'll build compilers for edge devices, optimize neural network deployments, and address complex numerical issues.
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The Bot Company

We're building a helpful robot for every home.

We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences.

Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution.

What we look for in all candidates

All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate:

  • Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains.

  • Engineering curiosity: you naturally dig into how systems work, even outside your specialty.

  • High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding.

ML Compiler Engineer

As an expert in building ML compilers for edge devices (custom silicon or otherwise), you will play an integral role in a robust deployment stack to run large neural networks with minimal latency on our robots.

Requirements
  • Strong coding ability, with exceptional experience with C++ and/or Python.

  • Experience with modern compiler infrastructure (MLIR/LLVM, XLA, TVM, Glow, etc).

  • Experience with running models on heterogeneous compute (edge devices preferred).

  • Experience with writing kernels (CUDA/OpenCL).

  • Experience with quantization is a plus, but not required.

What You’ll Do
  • Design, build, and maintain core compiler infrastructure for our target hardware.

  • Collaborate with other functions (e.g. ML, Systems Software, etc).

  • Independently triage and solve complex numerical issues (disparities between training and inference) while pushing the performance envelope.

Why Join

You’ll work with a small, elite team on challenges that require speed, intelligence, and deep engineering instinct. If you enjoy understanding systems at all levels, move fast, and think even faster, you’ll thrive here.

Top Skills

C++
Cuda
Glow
Llvm
Mlir
Opencl
Python
Tvm
Xla

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