Senior/Staff Software Engineer (ML Inference Platform)
Posted Updated
- The 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!
- 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
Benefits
- Free Caltrain pass and commuter benefits
- Company stock options
- Work from home opportunities
- Health insurance
- Independence and productivity: Ability and willingness to dive into unfamiliar territory, learn fast, and improve complex systems
- Technical excellence: Develop with a high standard for performance, scalability, and code quality
- You have a degree in BS, MS.c or Ph.D and 3+ years of relevant experience
- Domain experience: Experience working with ML pipelines; ability to understand and design complex distributed systems
- Strong proficiency in Python or similar languages. Familiarity with c++
- Experience with ML compilers
- Experience with data workflow orchestration platforms
- Experience with system & framework design
- Experience working with large-scale distributed systems
- Strong proficiency in C++ or other high-performance low-level languages