Software Engineering Manager, Core Platform - Autonomous Vehicles

at Nvidia
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 @ 3

Details

The Automotive Vehicles Platform team is searching for a creative and experienced Software Engineering Manager to help bring NVIDIA's autonomous vehicle product to market. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with multi-functional engineering teams across various vehicle subsystems to integrate their work into the NVIDIA DRIVE software platform while meeting NVIDIA and automotive standards and guidelines.

Responsibilities

  • Lead the team and effort towards development and deployment of the next-generation Autonomous Vehicle Car Platform.
  • Drive automotive ECU software development and releases with NVIDIA autonomous driving partners, in a multi-layered environment by defining roadmaps, milestones and execution plans.
  • Lead the autonomous driving organization through risks and resolve critical issues that affect platform stability, availability and efficiency of AV development.
  • Develop system tests and documentation of product functions, evaluate quality and propose corrective actions.
  • Coordinate cross-functional work between research, product and engineering teams to integrate components into the DRIVE SW platform.

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 work experience as a team or technical leader.
  • Proven track record of taking embedded and high-efficiency software architectures to production.
  • Profound knowledge of programming and debugging techniques, 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.
  • Validated experience working in a highly multi-functional environment and ability to build agreement between research, product and engineering teams.
  • Strong analytical and problem-solving skills paired with excellent communication skills.

Preferred / Ways to stand out

  • Prior experience in automotive ECU software integration.
  • Prior experience in Classic and Adaptive AUTOSAR.
  • Working knowledge of CAN, FlexRay, automotive Ethernet and various automotive sensors (Radar, Lidar, Cameras).
  • Experience developing software in heterogeneous architectures, including GPUs and other accelerators.
  • Hands-on orientation and the ability to work closely with software and hardware engineers with attention to detail and data organization.

Compensation and Benefits

  • Base salary range (determined by location, experience, and similar roles):
    • Level 3: 224,000 USD - 356,500 USD
    • Level 4: 272,000 USD - 425,500 USD
  • Eligible for equity and benefits (see NVIDIA benefits).

Other Information

  • Applications for this job will be accepted at least until September 23, 2025.
  • NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. NVIDIA does not discriminate based on protected characteristics.