Nuro
Direct Greenhouse career site

Staff Software Engineer, Behavior ML Data

Location
Mountain View, California (HQ)
Listed
Today

About the Role

We are looking for a Senior/Staff Software Engineer to serve as a technical leader for Nuro's ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for the systems that feed our autonomy AI models.

In this role you will be a member of the Autonomy team responsible for executing the technical strategy for transforming massive amounts of autonomy data into high-value training signals for autonomy decision making. You will design and build data products for autonomy researchers, develop queries for rare "needle-in-a-haystack" scenarios, and trigger labeling and data ingestion workflows without human intervention.

You will partner directly with Autonomy ML researchers to understand their data needs, collaborate with infrastructure teams to define the right data interfaces and APIs, and build robust data selection, simulation, and introspection tools that can process data at scale. If you love solving challenging new problems with a mindset of deriving practical solutions to be used in the physical world, come join us

Required Qualifications

  • 7+ years of experience with a proven track record of technical leadership architecting and delivering complex, multi-system ML data engineering data systems.
  • Education: B.S./M.S. in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, or equivalent practical experience.
  • Understanding of end-to-end ML data pipelines and their interaction with model training and evaluation.
  • Strong proficiency in C++ and Python, with petabyte-level data management experience.
  • Experience taking data concepts (e.g., "uncertainty sampling") and turning them into stable, 24/7 production services.

Preferred Qualifications

  • Prior experience working in large companies with productionized AI systems working on data engines for large scale machine learning.
  • Experience in workflow orchestration, introspection UI/UX for data understanding, and ML frameworks for foundation model training.
  • Expertise in data-centric AI topics (active learning, pre-training) and their application in autonomous systems.
  • You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics, and have some familiarity with the state of the art in ML for autonomous driving and data utilization.

Pay and benefits

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.

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 Work

  • Data Pipeline Architecture: Design and build scalable data ingestion and processing pipelines that turn data streams into targeted training datasets. Lead initiatives to improve data quality, detect anomalies, and manage out-of-distribution examples to ensure robust model training and deployment.
  • Cross Functional Leadership: Work across autonomy teams and data infra teams to build effective ML data pipelines and products for ML engineers.
  • ML Tooling & Introspection: Develop infrastructure and visualization tools that allow ML researchers to easily introspect data, identify model failure modes, query for new data samples, and understand data distribution shifts.
  • Labeling Operations Integration: Collaborate closely with the data operations team to define quality standards, automate quality control (QC), and streamline the feedback loop between model performance and annotation guidelines.
  • Active Learning & Data Mining Engines: Lead the engineering effort to operationalize research-grade active learning methods. E.g. build systems that compute embeddings or run inference at scale, manage vector databases, and automatically sample the most informative data points for labeling.
Read the original posting

From Nuro's careers page, first listed on Rolev.ai on November 12, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Staff Software Engineer, Behavior ML Data job at Nuro located?

This Staff Software Engineer, Behavior ML Data position at Nuro is located in Mountain View, California (HQ). Always check Nuro's application page for specific state eligibility or relocation policies.

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This listing links directly to Nuro's Greenhouse application page. You can apply directly on Nuro's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.