Job Information
Nvidia Senior System Software Engineer - Autonomous Vehicles Platform in Shanghai, China
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun.
Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture.
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 optimising 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 visualisation tools.
Performing in-vehicle tests, collecting data and analysing 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 those defined by MISRA.
What we need to see:
BS/MS or higher in computer engineering, computer science or related engineering disciplines (or equivalent experience).
5+ 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 a Learning Machine
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.
Learn more about NVIDIA .