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9 дней назад

Senior/Staff Technical Program Manager - Autonomous Test Fleet Data Strategy & Mileage Accumulation (Autonomous Vehicles)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior/Staff Technical Program Manager (Autonomous Vehicles): Leading the end-to-end strategy and execution of mileage accumulation for physical test fleets and simulation assets with an accent on geofence expansion and simulation-first methodologies. Focus on resolving technical bottlenecks in data pipelines, scaling simulated mileage, and driving cross-functional alignment between autonomy and operations teams.

Location: Hybrid (Foster City, CA)

Company

Zoox is developing a safe, autonomous ride-hailing service to transform urban transportation.

What you will do

  • Lead the operational strategy for mileage accumulation across physical and simulated assets to enable geofence expansion.
  • Drive the transition to a simulation-first methodology for scaling simulated mileage and meeting growing data needs.
  • Identify and eliminate critical bottlenecks in upstream and downstream data pipelines.
  • Partner with executive leadership and program leads to reshape deliverables, timelines, and program scope.
  • Investigate root causes of performance plateaus and design creative technical workarounds.

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Systems Engineering, Robotics, or a related technical field.
  • 7+ years of TPM experience with a strong background in complex hardware/software integration, system verification and validation (V&V), or safety-critical systems.
  • Strong technical mindset with the ability to negotiate aggressively with stakeholders to protect the critical path.
  • Demonstrated ability to translate complex technical bottlenecks into data-backed executive narratives.

Nice to have

  • Deep experience with autonomous vehicle or simulation platforms, virtual validation strategies, or synthetic data generation.
  • Familiarity with optimization frameworks and large-scale data acquisition programs.

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