Six Figure Work

Senior Technical Program Manager - AI Platform Performance & Reliability

Nuro

Company websitenuro.ai (Nuro, opens in new tab)

Base salary $160,360  to $240,540

Employer-published annual base salary, USD. Advertised base range in Mountain View, CA

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  • LocationMountain View, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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’re looking for a Technical Program Manager (TPM) to drive cross-functional alignment and execution for AI Platform programs at Nuro. This role sits at the intersection of Systems Engineering, Platform, Data Science and Autonomy teams - focused on delivering scalable and reliable verification & validation (V&V) 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.

About the Work

  • Own the reliability metrics that gate driverless readiness and drive them to target.
  • Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Ops, running the operating cadence that keeps reliability work aligned and moving.
  • Build and maintain detailed execution plans; track progress, risks, and metrics using internal tools (e.g., JIRA , Confluence, custom dashboards).
  • Drive issue triage and burndown to resolution, ensuring clear ownership and accountability across teams.
  • Translate field failure patterns into engineering and tooling priorities for the platform.
  • Partner with engineering to focus test and validation capacity on the highest-risk failure modes. Identify testing and validation gaps and improve development workflows.
  • Partner with Ops to improve troubleshooting and intervention workflows, reducing time-to-recovery.
  • Maintain execution plans and provide program updates, decision docs, and risk assessments to leadership.
  • Shorten the loop from field failure to validated fix on the fleet.

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.
  • Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences.
  • Proficiency with agile program tools (e.g., Jira) 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 V&V (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, safety case validation, or end-to-end system testing.
  • Excellent organizational and interpersonal skills, able to balance fast-paced execution with structured process discipline.

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. #LI-DNP

Source: Nuro on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($160,360) is above 59% of the 749 Program & Project Management roles in California listed on this site; 1 other lists the same floor. Their median floor is $150,000; the middle half runs from $125,300 to $176,500.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Nuro roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Nuro roles with the nearest advertised base floor
RolePublished base
Senior Technical Program Manager - AI Platform Performance & Reliability (this listing)$160,360 - $240,540
Senior Software Engineer, Sensor Platform$160,360 - $240,540
Senior Senior Technical Program Manager, Driverless Readiness & AI Platform Reliability$160,360 - $240,540
Machine Learning Research Scientist: Generative Modeling for Planning$160,360 - $240,540
Machine Learning Research Scientist, Behavior Planning and Prediction$160,360 - $240,540
Software Engineer, Onboard Platform$160,360 - $240,540
Senior Software Engineer, Devices Platform$160,360 - $240,540

Same $100K to $400K scale as every card. All Nuro roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-08
Where this pay comes from

Location as the employer wrote it: Mountain View, California (HQ)

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

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.