We are now looking for a System Software Engineer for Autonomous Vehicles
Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interests on designing, developing and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, vehicle interface abstraction.
What you will be doing:
Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working with vendors developing state of the art 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.
Work with our car teams and control teams to develop interfaces to the vehicles to enable self-driving
Support data collection campaigns for our autonomous vehicle program.
Developing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow 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 engineering disciplines (or equivalent experience)
3+ years of experience
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 sensors such as cameras, lidar, radar, ultrasonics, IMU, GPS
Background with vehicle control interfaces.
Thrive on writing low latency, highly performant code
Great communication and analytical skills.
Self-motivated and a great teammate
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 (Core Profile) and Linux.
Experience with version control systems GIT and build system CMake
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
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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