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Director, Autonomous Vehicles Platform

NVIDIA· Mgmt, Sys SW
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Santa Clara, CA$320k - $488.8kfull-timePosted 7mo ago

About the role

Lead end-to-end platform integration with OEM partners and steer the architecture and development of vehicle and sensor abstraction layers for autonomous driving software, enabling real-time autonomy at scale.

Responsibilities

  • Collaborate with key OEM partners to lead full platform integration and adapt our technology to OEM solutions.
  • Lead the Vehicle Adaptation Layer (VAL) and Sensor Adaptation Layer (SAL) teams, designing and developing software abstractions and plug-in frameworks that interface with vehicle and sensor systems while delivering exceptional customer outcomes.
  • Build efficient, user-friendly mechanisms to improve software integration across a wide range of vehicles and sensor configurations.
  • Enhance existing frameworks and software components, validating improvements through extensive real-world and synthetic testing to enhance computational performance and system utilization.
  • Conduct in-vehicle tests, collect and analyze sensor and vehicle data, and support the completion of autonomous drive missions.
  • Develop unit tests and documentation for key features, evaluate software quality, and propose corrective actions in alignment with industry best practices.
  • Write highly efficient, production-quality C++ code, demonstrating parallel computing capabilities through GPGPU (CUDA) to accelerate processing workloads.
  • Follow industry safety and quality standards, including MISRA and other automotive-grade software development practices.

Qualifications

  • MS or PhD in Computer Engineering, Computer Science or related Engineering fields (or equivalent experience).
  • 15+ overall years of relevant industry experience and 8+ years of managing a team.
  • Excellent C and C++ programming skills.
  • Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
  • Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
  • Strong knowledge on Linux, Android, and/or other real-time operating systems.
  • Experience with frameworks for robotics such as ROS and/or for multimedia such as GStreamer.
  • Passion for writing low-latency, high-performance software.
  • Excellent communication and analytical skills.
  • Self-motivated and a strong team-oriented mindset.

Skills

Required:C/C++ programmingMultithreaded/Distributed systemsLinux/RTOSROS/GStreamerHardware/Vehicle integration
Nice to have:GPGPU/CUDA

Benefits

  • equity
  • benefits (see company webpage)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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