about 3 hours ago
Base Salary
$160k - $241k/yr
Responsibilities
- Design and develop ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models.
- Develop and maintain continuous testing and monitoring systems for core ML infrastructure components.
- Build observability to track ML model lifecycles from data generation through on-road validation.
- Maintain an in-house ML inference platform that efficiently serves large language models.
- Maintain an in-house ML compiler platform to compile, deploy, and validate autonomy models across various hardware platforms.
Requirements
- Bachelor’s, master’s, or Ph.D. degree.
- At least 1 year of relevant experience.
- Strong proficiency in Python or similar languages and familiarity with C++.
- Experience working with ML pipelines and the ability to understand and design complex distributed systems.
- Strong performance, scalability, and code-quality standards.
- Strong proficiency in C++ or other high-performance low-level languages is a bonus.
- Experience with large-scale distributed systems, system and framework design, data workflow orchestration platforms, or ML compilers is a bonus.
Benefits
- Eligibility for an annual performance bonus, equity, and a competitive benefits package.
About Nuro
Nuro is a self-driving technology company on a mission to improve everyday life with autonomy. Founded in 2016, Nuro is the universal autonomy platform for the mobility ecosystem, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.