Manager, Software Performance Engineering - Autonomous Vehicles

NVIDIA•Santa Clara, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, where GPUs act as the brains of computers, robots, and self-driving cars. As an NVIDIAN, you'll be immersed in a diverse, supportive environment. NVIDIA is seeking a Manager of Software Performance within the Autonomous Vehicles organization. In this role, you will drive the strategic scaling of performance engineering efforts across the full portfolio of NVIDIA DRIVE Autonomous Solutions (NDAS) products, spanning multiple customer programs and hardware generations. Your mission will be to cultivate and grow a deeply collaborative group that operates optimally across Product, Functions, Safety, Operating Systems & Middleware, and next-generation hardware teams, ultimately enabling the highest-quality autonomous driving experience NDAS can deliver.

Requirements

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.

Nice To Haves

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

Responsibilities

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.