Software Engineering Manager, Core Platform - Autonomous Vehicles

at Nvidia
📍 Santa Clara, United States
USD 224,000-425,500 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 2 Software Development @ 3 Linux @ 3 Communication @ 6 Debugging @ 6

Details

The Automotive Vehicles Platform team is seeking a creative and experienced Software Engineering Manager to help bring NVIDIA's autonomous vehicle product to market. You will manage software development for the autonomous driving software stack, working with multi-functional engineering teams across vehicle subsystems to integrate their work into the NVIDIA DRIVE software platform while meeting NVIDIA and automotive standards.

Responsibilities

  • Lead the team and efforts to develop and deploy the next-generation Autonomous Vehicle Car Platform.
  • Drive automotive ECU software development and releases with NVIDIA autonomous driving partners by defining roadmaps, milestones, and execution plans.
  • Lead the autonomous driving organization through risks and resolve critical issues affecting platform stability, availability, and efficiency.
  • Develop system tests, document product functions, evaluate quality, and propose corrective actions.
  • Coordinate cross-functional work between research, product, and engineering teams to deliver production-ready solutions.

Requirements

  • BS/MS or higher in Computer Engineering, Computer Science, or related engineering fields (or equivalent experience).
  • 8+ years of progressive industry experience.
  • 4+ years of experience as a team or technical leader.
  • Proven track record of taking embedded and high-efficiency software architectures to production.
  • Strong programming and debugging skills, especially for parallel and distributed architectures.
  • Proven understanding of Linux, QNX, and/or other real-time operating systems.
  • Familiarity with automotive ISO 26262 safety standards and security standards.
  • Strong analytical and problem-solving skills and excellent communication skills.

Ways to Stand Out

  • Prior experience in automotive ECU software integration.
  • Prior experience with Classic and Adaptive AUTOSAR.
  • Working knowledge of CAN, FlexRay, automotive Ethernet, and automotive sensors (Radar, LiDAR, Cameras).
  • Experience developing software in heterogeneous architectures, including GPUs and other accelerators.
  • Hands-on experience collaborating with software and hardware engineers; detail-oriented with strong data organization and presentation skills.

Benefits & Compensation

  • Base salary range (determined by location, experience, and internal pay):
    • Level 3: 224,000 USD - 356,500 USD
    • Level 4: 272,000 USD - 425,500 USD
  • You will also be eligible for equity and benefits (see NVIDIA benefits page).
  • Applications accepted at least until September 23, 2025.

Additional Information

  • Company context: NVIDIA enables training deep neural networks on DGX systems and running them on DRIVE AGX inside vehicles. The role is part of NVIDIA's broader efforts in AI computing, visualization, supercomputing, and self-driving cars.
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.