Senior Technical Program Manager (AI Platform Performance & Reliability)

Join Nuro as a Senior Technical Program Manager, where you'll drive cross-functional alignment and execution for AI Platform programs. You'll own the end-to-end lifecycle of systems tooling initiatives, manage reliability metrics, and serve as the primary interface across various teams. This role requires a strong background in technical program management, systems engineering, or software development in robotics or automotive.

• Posséder l'ensemble du cycle de vie des initiatives d'outillage des systèmes, y compris la définition des exigences, la gestion des priorités, la coordination de l'intégration et l'assurance que l'infrastructure de test et de validation répond aux besoins évolutifs.
• Être le principal point de contact entre les équipes de la plateforme d'IA, des systèmes, du matériel et des opérations des véhicules, en assurant la coordination et l'avancement des travaux de fiabilité.
• Traduire les modèles de défaillance sur le terrain en priorités d'ingénierie et d'outillage pour la plateforme, et travailler en partenariat avec l'ingénierie pour se concentrer sur la capacité de test et de validation.

• Demonstrated ability to manage complex dependencies, drive alignment, and communicate effectively across technical and leadership audiences
• 5+ years of experience in technical program management, systems engineering, or software development in robotics, automotive, or related technology domains
• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field
• Strong understanding of system verification and validation, testing frameworks
• Proven experience leading cross-functional programs involving multiple engineering disciplines (software, hardware, autonomy, or systems)
• Proficiency with agile program tools (e.g., Jira) and technical documentation platforms (e.g., Confluence)
• Experience with autonomous systems, vehicle platforms, or robotics simulation environments
• Technical depth in Python, C++, or data tooling pipelines sufficient to engage engineers on design trade-offs
• Familiarity with data and tooling stacks supporting system V&V (e.g., test harnesses, synthetic data generation, regression testing, scenario replay tools)
• 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