Senior Software Engineer, Machine Learning Infrastructure

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

Our team is growing and we are looking for talented engineers to join us and build a world-class ML-first self-driving solution. The ML Infra team is building scalable machine learning infrastructure and distributed training solutions to optimize and accelerate ML development at Nuro.

About the Work

Depending on your skill set and areas of interest you will work on some or all of the following:

• Build up a model serving platform for efficient large-scale simulations and reinforcement learning (RL) training.
• Collaborate with ML researchers to optimize large distributed processes like PyTorch ML training  and latency-critical processes like an on-edge ML runtime.
• Maintain observability and monitoring for critical services like ML training, data dumping, and deployment.
• Implement tools to track the model development lifecycle for an efficient deployment and evaluation process.

About You

• 2+ years of relevant work experience or an equivalent experience in Masters/PhD with 2+ years of relevant experience.
• Strong coding skills in Python or C++.
• You have relevant exposure to the ML development life cycle and ML models.
• You have experience in building a cloud-based distributed training platform.
• You have experience profiling and optimizing performance bottlenecks for deep learning models.

Nice to have

• Experience with model & data parallel training frameworks like PyTorch FSDP
• Experience with ML optimization techniques like quantization, distillation, or pruning.
• Experience with ML compiler frameworks like XLA, Pytorch compiler, or MLIR
• Experience with on-device ML deployment frameworks like ONNX, TensorRT or Nvidia DriveOS.

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 $250,800 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