Staff Software Engineer, Behavior ML Data
- Salary
- $193,930 - $352,290
- Level
- Staff
Not stated in the posting: work type, visa.
Open. First seen 22 October 2026.
About the role
Who We Are
Nuro's standard text
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 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
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.
About You
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.
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. #LI-DNP
What this role asks for
Particular to this role
Deep Learning · Vector Databases
Rare in Nuro's other 86 open postings.
Standard for data science / ML roles
Machine Learning
Common in data science / ML postings at any company.
In most of Nuro's ads
C++ · Python
Named in most of its open postings, whatever the role.
83% of this description is written for the role. The rest is Nuro's standard text, folded away below.
Compared with Nuro's other open jobs.
The team: Autonomy HIRES STEADILY
This role is one of 15 open in Autonomy. 1 was posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
C++ (13 of 15), Python (12 of 15), Machine Learning (8 of 15), Deep Learning (4 of 15), LLM (3 of 15), PyTorch (3 of 15), TensorFlow (2 of 15)
OTHER ROLES ON THIS TEAM
- Senior Software Engineer, Collision Avoidance posted Oct 6
- Technical Lead Manager, Risk Aware Planning posted Sep 15
- Senior/Staff Engineer, Machine Learning - Online Mapping posted Sep 8
- Staff/Lead Machine Learning Engineer, Behavior & Planning posted Aug 7
- Senior Software Engineer, Perception Data Infrastructure posted Apr 6
- Senior Software Engineer, Onboard Autonomy posted Mar 10
- ML Research Scientist, Prediction & Smart Agents posted Feb 19
- Senior Software Engineer, Perception ML posted Feb 6
- Technical Lead Manager, Autonomy Evaluation and Intelligence posted Nov 10
- Senior Software Engineer, Behavior Planning posted Jun 5
- Senior Software Engineer, Perception, Machine Learning/Computer Vision posted Jan 14
- Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning posted Jul 18
- Machine Learning Research Scientist, Behavior Planning and Prediction posted Nov 3
- Machine Learning Research Scientist: Generative Modeling for Planning posted Oct 17
From the team and dates on Nuro's own job board.
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