Senior Technical Program Manager (Driverless Readiness & AI Platform Reliability)

Nuro; Mountain View (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Free Caltrain pass

Company stock options

Work from home opportunities

Health insurance

Job summary

Nuro in Mountain View, CA is seeking a Technical Program Manager to drive cross-functional alignment for AI Platform programs focused on verification and validation tools for driverless deployment. You will own end-to-end tooling initiatives, manage integration with simulation and autonomy stacks, and maintain robust execution plans and risk analytics.

Ideal candidates have strong TPM, systems engineering, and software development experience in robotics or automotive domains, with hands-on

Qualifications

• 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.
• Proficiency with agile program tools (e.g., Jira) and technical documentation platforms (e.g., Confluence).
• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
• Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences.
• 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).
• Excellent organizational and interpersonal skills, able to balance fast-paced execution with structured process discipline.
• 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.

Responsibilities

• Drive cross-functional alignment and execution for AI Platform programs.
• Own the end-to-end lifecycle of systems tooling initiatives, defining requirements and coordinating integration with simulation and autonomy stacks.
• Own reliability metrics that gate driverless readiness and drive them to target.
• Serve as the primary interface across AI Platform, Systems, Hardware, and Vehicle Ops, keeping reliability work aligned.
• Build and maintain execution plans; track progress, risks, and metrics using internal tools (JIRA, Confluence, dashboards).
• Drive issue triage and burndown to resolution with clear ownership across teams.
• Translate field failure patterns into engineering and tooling priorities for the platform.
• Partner with engineering to focus test/validation capacity on high-risk failure modes and improve 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.

Skills

Program management

Systems engineering

Cross-functional leadership

System verification

Agile tooling

Python

C++

Data tooling

Communication

Autonomy systems

Driverless readiness

Education

Bachelors in CS/EE/Robotics

Tools

Jira

Confluence

Job description

• 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
• 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

Benefits

• Free Caltrain pass and commuter benefits
• Company stock options
• Work from home opportunities
• Health insurance

5+ years of experience in technical program management, systems engineering, or software development in robotics, automotive, or related technology domainsProven experience leading cross-functional programs involving multiple engineering disciplines (software, hardware, autonomy, or systems)Strong understanding of system verification and validation, testing frameworksProficiency with agile program tools (e.g., Jira) and technical documentation platforms (e.g., Confluence)Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related fieldDemonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiencesExperience with autonomous systems, vehicle platforms, or robotics simulation environmentsFamiliarity with data and tooling stacks supporting system V&V (e.g., test harnesses, synthetic data generation, regression testing, scenario replay tools)Excellent organizational and interpersonal skills, able to balance fast-paced execution with structured process disciplineTechnical depth in Python, C++, or data tooling pipelines sufficient to engage engineers on design trade-offsPrior experience in driverless readiness, safety case validation, or end-to-end system testing