> Markdown version of [/jobs/ext/3966051-director-autonomous-vehicles-platform](https://www.wearedevelopers.com/jobs/ext/3966051-director-autonomous-vehicles-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Director, Autonomous Vehicles Platform

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $320,000.0
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Artificial Intelligence, Unit Testing, AUTomotive Open System Architecture (AUTOSAR), C++ (Programming Language), CMake, Software Quality, Nvidia CUDA, Computer Programming, Computer Engineering, Software Debugging, Linux, Distributed Systems, Game Engine, General-Purpose Computing on Graphics Processing Units, Web Servers, MISRA C (C Programming Language), OpenGL, Real-Time Operating Systems, Software Engineering, Verification and Validation (Software), Systems Integration, Data Processing, Multithreading, Graphics Processing Unit (GPU), Flexi (Photoshop Plugin), Parallel Computation, Git, Information Technology, Low Latency, Data Management
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/director-autonomous-vehicles-platform-santa-clara-ca--8a5e93a4-b957-4a31-b345-fedc41a48f55

## About the Role

Artificial Intelligence (AI), Realtime Operating System, Autonomous Driving Systems, Robotics, Web Client Plug-ins, Software Development, Software Design, Data Processing, Testing, Software Validation, * MS or higher 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.
 * Thrive on writing low latency, highly performant code.
 * Phenomenal communication and analytical skills.
 * Self-motivated and a great teammate

Ways to stand out from the crowd:

 * Understanding of embedded architectures and developing software in heterogeneous architectures, including GPUs.
 * Knowledge of automotive systems, notably ADAS applications, AUTOSAR and drive by wire systems.
 * Software development for modern OpenGL (Core Profile) and Linux.
 * Experience with version control systems GIT and build system like CMake/Bazel
 * Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation

## Description

* Lead the VAL and SAL teams, designing and developing optimal software abstractions and plugin frameworks to interface with real-world vehicle and sensor systems, consistently exceeding customer expectations.
 * Build efficient and user-friendly mechanisms to improve software integration across a wide range of vehicles and sensor configurations.
 * Work on core areas such as component abstraction layers, sensor and actuator interfacing, and inter-process data sharing and communication, enabling reliable and scalable autonomous driving solutions.
 * Solidify existing frameworks and software components, validating improvements through extensive real-world and synthetic testing to enhance computational performance and system utilization.
 * Perform 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.
 * Develop 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.