# Senior Technical Program Manager

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Staff-Technical-Program-Manager---Autonomous-Vehicle-Platform_JR2028374?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6146edbe-447

## Description

NVIDIA is looking for a Senior Technical Program Manager to join the DRIVE AV Platform team. The successful candidate will lead a focused effort to productize groundbreaking solutions that will redefine transportation and the growing field of self-driving cars.

The Senior Technical Program Manager will work closely with dedicated multi-functional engineering teams across vehicle subsystems , software, hardware, validation, and systems , to integrate their work into the autonomous DRIVE SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards and guidelines.

Key responsibilities include:

- Leading multiple, concurrent complex programs across the autonomous driving platform , from embedded platform bring-up through production release

- Driving new platform technologies across the full stack: embedded OS, platform drivers, middleware, sensor integration, and validation

- Running automotive software development and releases in a highly dynamic environment, maintaining quality across rapid release cadences

- Translating deep embedded and SW knowledge into actionable program structures , defining scope, roadmaps, schedules, and milestones

- Identifying and resolving risks and issues that affect release scope, schedule, and quality, especially those spanning SW/HW boundaries

- Improving processes and procedures within the team; streamlining day-to-day operations with an eye for scalable engineering workflow using AI

Requirements:

- BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or 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: OS fundamentals (Linux, QNX, or similar RTOS), platform drivers, sensor middleware, and SW/HW integration

- Strong technical competence to engage deeply with engineering teams, debug program-level issues, and make sound trade-off calls across SW and HW domains

Nice to have:

- Experience shipping embedded software in automotive, robotics, or a related domain

- Direct experience in autonomous vehicle platform development, including ADAS software integration, sensor fusion stacks, or platform validation

- Familiarity with automotive-grade software standards (ISO 26262, ASPICE, or equivalent) and how they interact with program execution

- Background leading global programs across time zones with geographically distributed engineering teams

- Expertise in Agile and Scrum methodology; PMP or Scrum Master certification is a plus, with proficiency with Jira and PMP tools with agility and scale

In terms of compensation, the base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits.

## Skills

### Required
- embedded systems
- software engineering
- Technical Program Management
- Linux
- QNX
- RTOS
- platform drivers
- sensor middleware
- SW/HW integration

### Nice to have
- autonomous vehicle platform development
- ADAS software integration
- sensor fusion stacks
- platform validation
- Agile
- Scrum
- PMP
- Jira

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Staff-Technical-Program-Manager---Autonomous-Vehicle-Platform_JR2028374?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)