Technical Program Manager - Core Autonomy
Applied Intuition· Self-Driving Systems
Sunnyvale$179k - $240kFull-timePosted 3mo ago
About the role
Senior Technical Program Manager responsible for ownership of performance and release for the autonomy stack across multiple programs (L2+ passenger vehicle, L4 truck, mining vehicle). Central to engineering leadership, turning system health into release decisions and coordinating releases across downstream teams.
Responsibilities
- Performance measurement: Define and own how we measure and forecast the stack's reliability, so leadership knows not just where we stand today but where we're headed.
- Release ownership: Drive the stack's release cycle end to end - coordinate how the Core team ships to multiple vertical projects, and manage expectations with downstream teams.
- Prioritization: Identify the key projects to improve driving performance with engineering leads, and unblock the execution
- Reporting: Build the reporting that gives engineering and customer-facing teams a clear, shared view of performance and release status.
Qualifications
- Background in autonomy, robotics, or ML
- 3+ years of experience in technical program management, engineering, or related field
- Ability to context switch effectively across multiple projects
- Willing to operate without a fixed lane - making product calls one day, running analysis or building dashboards the next
- Bachelors, Masters or PhD degree in any field, or equivalent combination of education and work experience.
Skills
Required:Performance measurementRelease managementPrioritization
Benefits
- base salary, equity, and benefits including health, dental, vision, life and disability insurance, 401k with employer match, learning and wellness stipends, paid time off
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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