Senior/Staff Software Engineer, ML Infrastructure, Optimization

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today.

Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven

About the Role

The ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. This includes, but is not limited to, model training pipelines, onboard inference & optimizations, data & feature pipelines, reinforcement learning (RL) infrastructure and overall developer productivity & best practices. 

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 pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots!

About the Work

• Optimize Nuro’s autonomy stack with cutting-edge optimization techniques like quantization, distillation, and model compression. 
• Work with autonomy engineers to optimize, validate, and deploy large language models.
• Develop and maintain a world-class model compiler framework, FTL.
• Write robust, high quality software to increase our confidence in our vehicle’s ability to navigate safely on-road.
• Collaborate closely with machine learning domain experts and engineers across behavior, perception and mapping to design and implement end-to-end learned ML solutions.

About You

• 3+ years of relevant experience in ML optimization infrastructure.
• Experience with ML optimization techniques such as quantization and pruning, and ML compilers.
• Experience maintaining, profiling, and optimizing GPU ML compilers & runtimes.
• Proficient in Python and working experience with C++ and CUDA.
• Working experience deep learning frameworks (like PyTorch, Jax, Tensorflow, Keras).
• Proficient in Python and working experience with C++.
• You are passionate about accelerating the benefits of robotics for everyday life.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $303,050 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.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #li-dnp