Job Description
A role focused on building and optimizing the core machine learning infrastructure for autonomous vehicles at Nuro, including model deployment, optimization techniques, and collaboration with engineering teams to advance self-driving technology.
Key Responsibilities
- Design, build, and deploy core infrastructure components for machine learning model lifecycle
- Optimize autonomous systems using techniques like quantization, distillation, and model compression
- Collaborate with engineers to validate, optimize, and deploy large language models
- Develop and maintain a model compiler framework (FTL)
- Write robust software to ensure vehicle navigation safety
- Work with domain experts to design and 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: $193,930 to $352,290 (base pay)
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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