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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:** 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, MISRA C (C Programming Language), OpenGL, Real-Time Operating Systems, Software Engineering, Systems Integration, Multithreading, Graphics Processing Unit (GPU), Parallel Computation, Git, Information Technology, Low Latency, Data Management - **Published:** September 6, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Manager--Abstraction-Layer-Engineering---Autonomous-Platform_JR2002272 ## About the Role * 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 Ways to stand out from the crowd: * Understanding of embedded and heterogeneous architectures, including GPUs. * Knowledge of automotive systems, including ADAS applications, AUTOSAR and drive-by-wire systems. * 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 * Experience developing software using modern OpenGL (Core Profile) on Linux. * Experience with version control systems GIT and build system like CMake/Bazel. ## Description * 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. ## Related Videos - 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