Director, Autonomous Vehicles Platform
About The Position
The Director, Autonomous Vehicles Platform will work closely with key OEM partners to lead end-to-end platform integration and adapt NVIDIA technology to OEM solutions. The role leads the architecture and development of vehicle and sensor abstraction layers that connect autonomous driving software with physical vehicle and sensor hardware, from low-level sensor inputs and actuator commands to scalable real-world hardware integration. The position leads the Vehicle Adaptation Layer (VAL) and Sensor Adaptation Layer (SAL) teams, builds mechanisms to streamline integration across vehicle and sensor configurations, and improves software frameworks through real-world and synthetic testing. The director also conducts in-vehicle tests, analyzes sensor and vehicle data, supports autonomous driving missions, and contributes production-quality C++ and CUDA software while following automotive safety and quality practices.
Requirements
- MS or PhD in Computer Engineering, Computer Science, or a related engineering field, or equivalent experience.
- 15+ years of relevant industry experience.
- 8+ years of experience managing a team.
- Excellent C and C++ programming skills.
- Experience developing and debugging multithreaded or distributed applications, such as multimedia systems or game engines.
- Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
- Strong knowledge of Linux, Android, and/or other real-time operating systems.
- Experience with robotics frameworks such as ROS and/or multimedia frameworks such as GStreamer.
- Passion for writing low-latency, high-performance software.
- Excellent communication and analytical skills.
- Self-motivated, with a strong team-oriented mindset.
Nice To Haves
- Understanding of embedded and heterogeneous architectures, including GPUs.
- Knowledge of automotive systems, including ADAS applications, AUTOSAR, and drive-by-wire systems.
- Hands-on approach and ability to work well with algorithm, software, and hardware engineers, with attention to detail and strong data organization and presentation skills.
- Experience developing software using modern OpenGL (Core Profile) on Linux.
- Experience with Git version control and build systems such as CMake or Bazel.
Responsibilities
- Collaborate with key OEM partners to lead full platform integration and adapt the technology to OEM solutions.
- Lead the Vehicle Adaptation Layer (VAL) and Sensor Adaptation Layer (SAL) teams.
- Design and develop software abstractions and plug-in frameworks interfacing with vehicle and sensor systems.
- Build efficient, user-friendly mechanisms to improve integration across a range of vehicles and sensor configurations.
- Enhance frameworks and software components, validating improvements through real-world and synthetic testing to improve computational performance and system utilization.
- Conduct in-vehicle tests, collect and analyze sensor and vehicle data, and support completion of autonomous drive missions.
- Develop unit tests and documentation for key features, evaluate software quality, and propose corrective actions in accordance with industry best practices.
- Write efficient, production-quality C++ code and use GPGPU (CUDA) to accelerate processing workloads.
- Follow industry safety and quality standards, including MISRA and other automotive-grade software development practices.
Benefits
- Equity
- Benefits
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What This Job Offers
Job Type
Full-time
Career Level
Director
