Jobs · Engineering · California

Manager, Software Performance Engineering - Autonomous Vehicles

NVIDIA · Santa Clara, CA · 2 wk ago
EngineeringFull-time

What You'll Be Doing

  • Define and maintain the strategic execution roadmap, ensuring scalability across diverse product lines, release timelines, emerging customer engagements, and next-generation hardware platforms.
  • Lead and mentor a team of Performance Engineers in day-to-day execution, driving timely NDAS releases aligned with OEM partner roadmaps.
  • Improve performance engineering workflows and processes to foster a scalable, organization-wide performance culture.
  • Partner proactively with OEM customers, algorithm teams, OS, and hardware groups to establish a cohesive long-term architecture and technical vision for NDAS.
  • Provide regular, transparent communication of program status, risks, and key issues to leadership and multi-functional collaborators.

What We Need To See

  • 8+ overall years recent Software Engineering experience driving the planning and execution of software engineering projects, and releasing commercial products; including at least 4 years of Software team management experience.
  • BS or MS degree in Computer Science or related field (or relevant experience).
  • Experience leading successful releases with short release cadence in a dynamic environment.
  • Proven ability to understand and collaborate across complex technical SW stacks and their interdependencies in big organizations.
  • Proven record of leading and successfully delivering organizational wide programs and projects as well as process improvements.

Ways To Stand Out From The Crowd

  • Software management or systems engineering experience for large-scale mission/safety critical systems, specifically with autonomous vehicles, avionics or robotics.
  • Experience in Software performance optimization, especially in Embedded/Real-time Systems, GPU/CUDA optimizations or C++ algorithmic optimizations.
  • A strong grasp of Computer Architecture & Operating System concepts.
  • Exposure to developing or delivering deep learning projects on Embedded Systems/NVIDIA DRIVE platforms.

Base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $224,000 - $356,500 for Level 3, and $272,000 - $431,250 for Level 4. You will also be eligible for equity and benefits.

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