We are now looking for a Senior System Software Engineer for Autonomous Vehicles! Seeking software engineers with interests in crafting, developing, and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working individuals on our team. If you're creative, autonomous, and love a challenge, we want to hear from you.

What you will be doing:

• Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.

• Collaborating with vendors to develop brand new sensors for vehicles.

• Developing sensor drivers, plugins, and processing functions around sensor data.

• Developing highly efficient sensor data recording, playback, and visualization tools.

• Performing in-vehicle tests, collecting data, and analyzing integrity.

• Working with our car and control teams to develop interfaces to the vehicles to enable self-driving.

• Supporting data collection campaigns for our autonomous vehicle program.

• Developing unit tests, documentation for features, evaluating quality, and proposing corrective actions.

• Delivering efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Following quality and safety standards such as defined by MISRA.

What we need to see:

• BS/MS or higher in computer engineering, computer science, or related fields proven ability.

• Excellent C and C++ programming skills.

• 2 years+ experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.

• Solid understanding of programming and debugging techniques, especially for parallel and distributed architectures.

• Solid understanding of Linux, Android, and/or other real-time operating systems.

• Experience with sensors such as cameras, lidar, radar, ultrasonics, IMU, GPS.

• Background with vehicle control interfaces.

• Excellent communication and analytical skills.

Ways to stand out from the crowd:

• Understanding of embedded architectures.

• Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.

• Software development for modern OpenGL/Vulkan (Core Profile) and Linux.

• Experience with version control systems GIT and build system CMake.

• Collaborate effectively with algorithm, software, and hardware engineers, demonstrating attention to detail and data organization skills.