Software Engineer, ML Inference Platform

About the role

Who We Are

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

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!

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 with 1+ 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