Job Description
This role involves developing and optimizing machine learning infrastructure for autonomous vehicles at Nuro, including building scalable model pipelines, deploying models on self-driving robots, and collaborating with engineering teams to enhance the autonomy stack.
Key Responsibilities
- Design, build, and deploy core infrastructure components for machine learning model lifecycle
- Optimize and validate autonomous models using techniques like quantization, distillation, and model compression
- Develop and maintain a model compiler framework (FTL)
- Write robust software to ensure vehicle navigation safety
- Collaborate with domain experts to implement end-to-end learned ML solutions
Requirements
- At least 3 years of relevant experience in ML optimization infrastructure.
- Experience with ML optimization techniques such as quantization and pruning, and ML compilers.
- Experience maintaining, profiling, and optimizing GPU ML compilers runtimes.
- Proficient in Python and working experience with C and CUDA.
- Working experience with deep learning frameworks like PyTorch, Jax, Tensorflow, or Keras.
Benefits & Perks
Compensation/salary range between $160,360 and $240,540
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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