About the RoleThe ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model & data pipelines to building to deploying the optimized models on Nuro's fleet of self-driving robots!
About the Work- 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.
- Develop observability to track ML model lifecycles from data generation to on-road validation.
- Maintain an in-house ML inference platform to serve large language models efficiently.
- Maintain an in-house ML compiler platform to compile, deploy, and validate Nuro autonomy models to various hardware platforms.
About You- You have a degree in BS, MS.c or Ph.D and 3+ years of relevant experience
- Strong proficiency in Python or similar languages. Familiarity with c++.
- Technical excellence: Develop with a high standard for performance, scalability, and code quality.
Domain experience: Experience working with ML pipelines; ability to understand and design complex distributed systems - Independence and productivity: Ability and willingness to dive into unfamiliar territory, learn fast, and improve complex systems.
Bonus Points:- Strong proficiency in C++ or other high-performance low-level languages
- Experience working with large-scale distributed systems
- Experience with system & framework design
- Experience with data workflow orchestration platforms
- Experience with ML compilers
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $352,290 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
