2 months ago
Base Salary
$160k - $241k/yr
Responsibilities
- Design and develop ML workflow pipelines for training, optimizing, validating, and deploying Nuro autonomy models.
- Develop and maintain continuous testing and monitoring systems for ML infrastructure components.
- Build observability tracking ML model lifecycles from data generation through on-road validation.
- Maintain an in-house ML inference platform for efficiently serving large language models.
- Maintain an in-house ML compiler platform to compile, deploy, and validate autonomy models across hardware platforms.
Requirements
- A BS, MS, or Ph.D. and at least 1 year of relevant experience are required.
- Strong proficiency in Python or similar languages and familiarity with C++ are required.
- Experience with ML pipelines and the ability to understand and design complex distributed systems are required.
- Strong proficiency in C++ or other high-performance low-level languages is preferred.
- Experience with large-scale distributed systems, system and framework design, data workflow orchestration platforms, or ML compilers is preferred.
Benefits
- Annual performance bonus, equity, and competitive benefits package.
- Base pay range is $160,360-$240,540 depending on experience, qualifications, education, location, and skills.
Categories
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.