Nuro
Software Engineer, ML Infrastructure, Optimization
$160K–$241K
Mountain View, California (HQ) +1 · Full-time · Posted Jun 16, 2026
- Location
- Mountain View, California (HQ)
Nuro HQ - Mountain View, CA - Experience
- 2+ years of relevant experience in ML optimization infrastructure.
About the job
Build and optimize machine-learning infrastructure and models for Nuro’s autonomous driving stack, including deploying optimized models on its self-driving fleet.
What you'll do
- Optimize the autonomy stack using techniques such as quantization, low-precision inference, and model pruning; validate and deploy large language models.
- Develop and maintain the FTL model compiler framework and optimize GPU ML compilers and runtimes.
- Build robust ML lifecycle infrastructure and collaborate across autonomy teams on end-to-end learned solutions.
What they ask for
- Experience with ML optimization techniques such as quantization and pruning, and ML compilers.
- Experience maintaining, profiling, and optimizing GPU ML compilers and runtimes.
- Proficient in Python; working experience with C++ and CUDA.
- Working experience with deep learning frameworks such as PyTorch, Jax, Tensorflow, or Keras.
Pay
$160,360 and $240,540 (USD, base salary)
Tools
FTL, Python, C++, CUDA, PyTorch, Jax, Tensorflow, Keras
AI focus
Optimize, validate, and deploy machine-learning models, including large language models, for autonomous driving.
Model-written summary · the original posting is authoritative