below marketmost similar roles pay hereabove market
This role pays more than
92%
of similar roles. Most pay
$176,200–$231,016
— the blue band above.
At the midpoint, this role pays about
$261k
versus about
$204k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1637 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1054 roles with salary data.
The Staff Technical Program Manager - Autonomous Vehicle Platform joins the NVIDIA DRIVE AV Platform team to lead complex programs from embedded platform bring-up through production release. This role involves driving new platform technologies across the full stack, including embedded OS, platform drivers, middleware, and sensor integration. You will work with multi-functional engineering teams to integrate software, hardware, and validation components while ensuring compliance with automotive standards. Key responsibilities include defining roadmaps, managing global dependencies, and resolving risks across software and hardware boundaries. The position requires deep expertise in embedded systems software, specifically Linux, QNX, or similar RTOS. Candidates must demonstrate proficiency in sensor middleware, software/hardware integration, and automotive-grade standards like ISO 26262 and ASPICE to solve technical challenges in autonomous vehicle platform development.
What does a Technical Program Manager earn in California?
Median $199350 from 100 postings across 23 companies.
Lead multiple concurrent programs from embedded platform bring-up through production release.
Drive new platform technologies across the full stack including OS, drivers, middleware, and sensor integration.
Manage automotive software development and releases while maintaining quality across rapid release cadences.
Translate embedded and software knowledge into actionable program structures, roadmaps, schedules, and milestones.
Identify and resolve risks and issues affecting release scope, schedule, and quality across SW/HW boundaries.
Lead multi-functional dependencies proactively across global engineering teams.
Improve team processes and streamline engineering workflows using AI.
Communicate technical complexity to provide executive updates and drive alignment across large organizations.
What we're looking for
BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field or equivalent experience.
12+ years of proven experience with at least 8 years in Technical Program Management driving software engineering programs and releasing commercial products.
Solid understanding of embedded systems software including OS fundamentals (Linux, QNX, or similar RTOS), platform drivers, sensor middleware, and SW/HW integration.
Strong technical competence to engage with engineering teams, debug program-level issues, and make trade-off calls across SW and HW domains.
Consistent track record of delivering scalable, complex programs in fast-paced, multi-functional environments.
Strong communication, organizational, and leadership skills to translate technical complexity into executive updates and drive alignment.
Experience shipping embedded software in automotive, robotics, or related domains to run reliably on constrained, safety-relevant hardware (preferred).
Direct experience in autonomous vehicle platform development, automotive-grade software standards, or leading global programs across time zones (preferred).
Remote (San Francisco, CA)+1136 days ago
$193,800–$285,000
Autonomy
Robotics
Software Development Life Cycle
Perception
Planning
Localization
System Safety
Simulation
Remote Assistance
Jira
Confluence
Smartsheet
MS Project
Google Workspace
Autonomous Systems
Robotics
Systems Integration
Platform Software
DFM
DFA
Reliability Engineering
Qualification Testing
Communications
Power Systems
Compute Platforms
Manufacturing Readiness