Director, Autonomous Vehicles Platform (Equity Eligible)

NVIDIA

United States

On-site

USD 320,000 - 489,000

Full time

5 days ago
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Job summary

NVIDIA is seeking a senior software leader to drive end-to-end platform integration for autonomous driving solutions. You will guide the VAL and SAL teams, design software abstractions, and deliver production-grade C++ code with CUDA acceleration for diverse vehicle configurations.

You will mentor a multinational team, uphold MISRA-compliant practices, and collaborate with OEM partners to ensure safe, scalable real-time software that meets automotive-grade standards.

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

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.

Skills

C programming
C++ programming
Multithreaded programming
CUDA / GPGPU
Linux
ROS
GStreamer
Code optimization
Parallel architectures

Education

MS or PhD in Computer Engineering/CS or related

Tools

ROS
GStreamer
GIT
CMake/Bazel

Job description

NVIDIA is seeking a senior software leader to drive end-to-end platform integration for autonomous driving solutions. You will guide the VAL and SAL teams, design software abstractions, and deliver production-grade C++ code with CUDA acceleration for diverse vehicle configurations.

You will mentor a multinational team, uphold MISRA-compliant practices, and collaborate with OEM partners to ensure safe, scalable real-time software that meets automotive-grade standards.

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