---
title: 'Staff Software Engineer, Behavior ML Data at Nuro'
canonical: 'https://feeny.ai/job/staff-software-engineer-behavior-ml-data-nuro-mountain-view-88vrf07b8m96'
type: 'job'
last_seen: '2026-09-17'
---

# Staff Software Engineer, Behavior ML Data at Nuro

- **Company:** Nuro
- **Location:** Mountain View, CA
- **Posted:** 2026-02-25
- **Last confirmed live:** 2026-09-17
- **Apply:** https://nuro.ai/careersitem?gh_jid=7137941

## Job description

## 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 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

## About Nuro

## Company Overview
- **One-liner**: Nuro develops a universal autonomy platform, licensing its AI-first self-driving system (the Nuro Driver) to automakers and mobility providers to power robotaxis, commercial fleets, and personal vehicles.
- **Entity Type**: Private
- **Headquarters**: Mountain View, California, USA
- **Founded**: 2016
- **Founders**: Jiajun Zhu (Co-Founder & Co-CEO) and Dave Ferguson (Co-Founder & Co-CEO)

## Core Business
- Primary industry/industries: Autonomous driving technology, robotics, mobility solutions
- Target customers (B2B, B2C, Enterprise, SMB, etc.): B2B – automakers and mobility platforms (e.g., Uber, Lucid)
- Mission or purpose statement: "To make autonomy accessible to all."

## Products & Services
- **[Nuro Driver™]**: An AI-first, vehicle-agnostic self-driving system comprising proprietary hardware and generalized self-driving software. It is designed to be cost-efficient and scalable across various vehicle platforms (robotaxis, commercial fleets, personal vehicles). Validated with 5+ years of driverless deployments and over 1.7 million autonomous miles with zero at-fault incidents. [nuro.ai](https://www.nuro.ai/technology)
- **[Nuro Toolkit]**: A customizable SDK offering industry-leading autonomy developer tools, infrastructure, and remote assistance, enabling partners to integrate and manage Nuro’s autonomy technology. [nuro.ai](https://www.nuro.ai/technology)
- **Universal Autonomy Platform**: The overarching platform that combines the Nuro Driver and Nuro Toolkit, designed to be licensed by automakers and mobility providers to scale autonomy responsibly. [nuro.ai](https://www.nuro.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company).
- **Key Metric**: Total funding of over $2.1 billion (as of its Series D in 2021).
- **Notable Investors/Partners**: Investors include SoftBank Vision Fund, Greylock, Gaorong Capital, and others. Partners include Uber, Lucid Motors, and various auto and mobility companies. [nuro.ai](https://www.nuro.ai/)
- **Growth Signals**: The company has successfully deployed its technology across three US states (California, Texas, Nevada) since 2020. It is expanding globally with offices in Shenzhen, Tokyo, Toronto, and a planned office in Munich. It recently announced a collaboration with Uber and Lucid, signaling a move into the ride-hailing and personal vehicle markets. [nuro.ai](https://www.nuro.ai/)

## Competitive Advantages
- **Proven Safety Record**: Over 1.7 million autonomous miles driven with zero at-fault incidents, backed by industry-first operating permits and exemptions from regulators. [nuro.ai](https://www.nuro.ai/technology)
- **Vehicle-Agnostic Platform**: The Nuro Driver is designed to be adaptable across different vehicle platforms, making it a flexible solution for various partners.
- **Founding Team from Waymo/Google**: Both co-founders were key engineers on Google’s self-driving car project (now Waymo), bringing deep expertise in perception, machine learning, and robotics.
- **Vision for Artificial General Robotics (AGR)**: The company’s long-term vision extends beyond autonomous driving to applying its AI infrastructure and tooling to other physical domains, positioning it as a broader robotics platform.

## Strategic Focus
- **Scaling Autonomy through Partnerships**: Moving from its initial focus on last-mile delivery to licensing its technology to major mobility and automotive partners (e.g., Uber, Lucid) to power robotaxis and personal vehicles.
- **Global Expansion**: Establishing engineering and operational offices in key markets (US, China, Japan, Canada, Germany) to support global deployment.
- **Cost-Efficient, Scalable AI**: Developing a hardware and software stack that uses automotive-grade, cost-efficient components to enable mass-market adoption.

## Why Work Here
- **Impactful Mission**: Employees work on technology that directly aims to make streets safer, reduce emissions, and give people more time.
- **World-Class Team & Culture**: The company emphasizes a culture of "One team," "Find a way," and "1% better every day," with a focus on continuous improvement and collaboration. [nuro.ai](https://www.nuro.ai/careers)
- **Strong Benefits Package**: Includes medical, dental, and vision coverage, fertility benefits, parental leave, flexible PTO, mental health and physical fitness benefits, 401k, and RSUs (equity). [nuro.ai](https://www.nuro.ai/careers)
- **Global & Diverse Work Environment**: Offices in Mountain View (HQ), San Francisco, Santa Clara, Houston, Las Vegas, Los Angeles, Washington DC, Shenzhen, Tokyo, Toronto, and a planned office in Munich. The company is committed to DEI. [nuro.ai](https://www.nuro.ai/careers)
- **Early Career & Internship Programs**: Offers structured programs for students and early-career professionals to work on real products and make a measurable impact. [nuro.ai](https://www.nuro.ai/careers)

## Sources
1. [nuro.ai - Company Page](https://www.nuro.ai/company)
2. [nuro.ai - Homepage](https://www.nuro.ai/)
3. [nuro.ai - Technology Page](https://www.nuro.ai/technology)
4. [nuro.ai - Careers Page](https://www.nuro.ai/careers)
5. [LinkedIn - Nuro](https://www.linkedin.com/company/nuro-inc.)

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