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Nuro

Senior/Staff Software Engineer, Machine Learning Infrastructure

Posted 18 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA
194K-352K Annually
Senior level
In-Office
Mountain View, CA
194K-352K Annually
Senior level
Design, build, and maintain tools for tracking model development lifecycle, ensure high uptime of ML services, and collaborate with cross-functional teams to optimize solutions.
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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

We're looking for ML engineers to accelerate development progress and improve our ML developer experience. Ideally, you've worked in a fast-paced development environment before. We're looking for software engineers who love making both the teams they work with and the GPUs they work with more productive.

About the Work

In this role you will design, build, and maintain the tools to track our whole model development lifecycle - such as feature store, experiment tracking, and model registry. This will also include: 

  • Implement tools to track the model development lifecycle for an efficient deployment and evaluation process.
  • Develop issue detection and alerting mechanisms for critical ML services (training jobs, data pipelines, model deployments) to quickly detect issues and ensure high uptime.
  • Maintain observability dashboards to track model performance, data quality, and system metrics. 
  • Champion best practices for robust, reproducible, and debuggable ML experimentation.
  • Collaborate with cross-functional teams (perception, behavior, mapping, simulation teams, etc.) to identify infrastructure needs and integrate solutions across various domains for end-to-end ML solutions.
  • Thoughtfully balance innovative exploration with practical considerations.

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++.
  • Exposure to the ML development life cycle and ML models.
  • Experience profiling and optimizing performance bottlenecks in distributed systems. 
  • Eager to overcome obstacles and accelerate development make systems work better for the people who use them.

Bonus Points

  • Work experience designing, implementing, operating, or maintaining feature and model stores.
  • Previous contributions to open source ML Infrastructure projects or research publications in ML systems.
  • Experience with Pytorch, JAX, or TensorFlow

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $352,290 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.

Top Skills

C++
Jax
Python
PyTorch
TensorFlow

Nuro Mountain View, California, USA Office

Mountain View, CA, United States

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