---
title: 'Software Engineer, ML Infrastructure at Nuro'
canonical: 'https://feeny.ai/job/software-engineer-ml-infrastructure-nuro-mountain-view-fycvgkt4gdjp'
type: 'job'
last_seen: '2026-10-15'
---

# Software Engineer, ML Infrastructure at Nuro

- **Company:** Nuro
- **Location:** Mountain View, CA
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-10-15
- **Apply:** https://nuro.ai/careersitem?gh_jid=6909931

## 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

Nuro is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team. In this role, you will focus on building and evolving the core platform that provides researchers and engineers with seamless access to compute and data resources. You will be responsible for executing the technical strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management to accelerate the Nuro Driver™ development lifecycle.

## About the Work

You will build the foundation that powers Nuro’s model development from experimentation to production. Key responsibilities include:

- Resource Provisioning & IaC: Scaling automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments.
- Intelligent Scheduling: Designing and optimizing workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training.
- Data & ETL: Designing robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats.
- Feature Management: Implementing robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features.
- Platform Abstraction: Contributing to a unified ML platform that abstracts complex cloud infrastructure for end-users.

## About You

- Experience: 3+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
- Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane.
- Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano).
- Distributed Data Processing: Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation.
- Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching).
- Systems Design: A strong understanding of distributed systems, networking, and storage bottlenecks in the context of high-performance computing.

Bonus Points

- Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem (e.g., CNCF, Ray, or Kubeflow communities).
- Experience with high-performance storage systems (e.g., Lustre, Ceph, or specialized NVMe caching) for ML data loading.
- Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds (AWS, GCP, or Azure).

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 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 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.)

## Other roles at Nuro

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- [Security Engineer, Infrastructure](https://feeny.ai/job/security-engineer-infrastructure-nuro-mountain-view-kcnycbxptvjw) — Mountain View, CA
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