Senior Software Technical Program Manager - Infra and Platform Tooling

Nuro
Mountain View, California (HQ)Posted 19 March 2026

Job Description

Who We Are Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for Systems Tooling programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, Simulation, Data Science and Autonomy teams - focused on delivering scalable and reliable verification validation (VV) tools that enable systems readiness for driverless deployment. You’ll own the end-to-end lifecycle of systems tooling initiatives: defining requirements, managing priorities, coordinating integration with simulation and autonomy stacks, and ensuring test and validation infrastructure meets the evolving needs of driverless programs. You’ll play a key role in ensuring Nuro’s driverless systems meet the highest standards of reliability and safety by empowering engineers with world-class tooling and validation infrastructure that bridges autonomy innovation and on-road deployment. About the Work Lead technical program execution for systems VV tooling, ensuring milestones, dependencies, and deliverables are met toward driverless readiness. Serve as the primary interface between AI Platform, Simulation, Systems, and Autonomy teams to ensure consistent tooling integration and data pipelines. Translate high-level systems verification needs into concrete tooling requirements across perception, planning, control, and safety validation workflows. Build and maintain detailed execution plans; track progress, risks, and metrics using internal tools (e.g., Asana, Confluence, custom dashboards). Partner with systems and simulation engineers to evolve infrastructure supporting model validation, synthetic data, test orchestration, and automation at scale. Drive validation tool readiness reviews and ensure the VV tooling stack meets regulatory and internal safety certification standards for driverless operations. Provide regular program updates, decision docs, and risk assessments to technical and leadership stakeholders. Identify bottlenecks in tooling workflows and implement improvements to accelerate system validation cycles. About You Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of experience in technical program management, systems engineering, or software development in robotics, automotive, or related technology domains. Proven experience leading cross-functional programs involving multiple engineering disciplines (software, hardware, autonomy, or systems). Strong understanding of system verification and validation, testing frameworks, or simulation infrastructure. Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences. Proficiency with agile program tools (e.g., Jira, Asana) and technical documentation platforms (e.g., Confluence). Bonus Points Experience with autonomous systems, vehicle platforms, or robotics simulation environments. Familiarity with data and tooling stacks supporting system VV (e.g., test harnesses, synthetic data generation, regression testing, scenario replay tools). Technical depth in Python, C++, or data tooling pipelines sufficient to engage engineers on design trade-offs. Prior experience in driverless readiness, ... (truncated, view full listing at source)
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