Job Description
A role focused on developing and optimizing infrastructure for autonomous vehicle machine learning systems, including model deployment, performance tuning, 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 the autonomy stack using techniques like quantization, low precision inference, and model pruning
- 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
- Proficient in Python and C programming languages.
- Working experience with deep learning frameworks such as PyTorch, Jax, Tensorflow, or Keras.
- Experience in designing, building, and deploying machine learning model pipelines.
- Ability to optimize, validate, and deploy large language models in collaboration with autonomy engineers.
- Experience developing and maintaining a model compiler framework, such as FTL.
- Ability to write robust, high-quality software to ensure vehicle navigation safety.
- Collaborate closely with machine learning domain experts and engineers across behavior, perception, and mapping to design and implement end-to-end learned ML solutions.
- Highly productive, motivated, and comfortable working in new, unfamiliar environments.
Benefits & Perks
Compensation/salary range between $160,360 and $240,540 depending on experience and qualifications
Annual performance bonus
Equity in the company
Competitive benefits package
Ready to Apply?
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