Nuro

Software Engineer, Machine Learning Infrastructure

Mountain View, CA, US

Hybrid, RemoteFull time roleMid Level

About 1 month ago

About the Job

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro is a robotics start-up whose mission is to accelerate the benefits of robotics for everyday life. We have an elite team of entrepreneurs and engineers, researchers, and scientists who are building industry leading autonomous driving technologies. We believe AI and robotics are at the cusp of transforming daily life and we are dedicated to revolutionizing mobility through embodied AI.

Our team is growing and we are looking for talented engineers to join us and build a world-class ML-first self-driving solution. In this role you will work with Autonomy and ML infrastructure teams to build scalable machine learning infrastructure and distributed training solutions to optimize and accelerate ML development at Nuro. Your work will contribute to industry-leading advancements in machine learning research in the fields of reinforcement learning, foundational models, generative modeling, and more.

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.

  • 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 1+ years of relevant experience.

  • Strong coding, software design, and debugging skills in Python or C++.

  • You have relevant exposure to the ML development life cycle and ML models.

  • You are highly productive, motivated, and are a strong team player. 

  • You thrive in complex, fast-paced environments and learn quickly by doing.

Nice to have

  • You have experience in building a cloud-based distributed training platform.

  • You have experience profiling and optimizing performance bottlenecks for deep learning models and trainers.

  • Experience with serving frameworks like Triton or VLLM

  • Experience with model & data parallel training frameworks like PyTorch FSDP

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $138,225 and $228,000 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.

About the Company

Nuro Logo

Nuro

Mountain View, CA, USA

501-1000

We believe that great technology should benefit everyone. The team at Nuro is accelerating a future where robots make life easier and help us connect to the people and things we love. Together, we're pushing the boundaries of robotics to improve human life.

Dave Ferguson and Jiajun Zhu have devoted their careers to robotics and machine learning, most recently as Principal Engineers at Google's self-driving car project (now Waymo). They founded Nuro in 2016 to harness the power of robotics and artificial intelligence to solve new challenges at a global scale.

Our vehicle is a fully autonomous, on-road vehicle designed to transport goods quickly, safely, and affordably.

With no driver or passengers to worry about, our vehicle has been engineered from the ground up to keep what's outside even safer than what's inside.

Efficient, electric, and fully autonomous, it delivers life's needs at a price anyone can afford.

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