NVIDIA
Autonomous Vehicles
SeniorSystemSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior System Software Engineer at NVIDIA. Skills: C++ programming, multithreaded/distributed applications development, sensor drivers and interfaces, data streaming, recording and playback, vehicle interface abstraction, GPGPU programming (CUDA). Create and optimize software architecture and frameworks for real-world performance. Develop sensor drivers, plug-ins, and processing functions around sensor data”
What You'll Achieve.
matching or exceeding customer requirements; enable self-driving
Industry & Context.
analytical skills
What They're Looking For.
Must Have
BS/MS in Computer Engineering, Computer Science or related field (or equivalent experience), Excellent C and C++ programming skills, 8+ years of proven experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc., knowledge of programming and debugging techniques, especially for parallel and distributed architectures, Background on Linux, Android, and/or other real-time operating systems, Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GPS, Experience with vehicle control interfaces, Thrive on writing low latency, highly performant code, Great communication and analytical skills
Nice to Have
Understanding of embedded architectures, Experience with data-parallel and/or GPGPU programming, CUDA, and OpenCL, Software development for modern OpenGL (Core Profile) and Linux, Experience with version control systems GIT and build system CMake
What You'll Do.
Create and optimize software architecture and frameworks for real-world performance
Develop sensor drivers
and processing functions around sensor data
Create highly efficient sensor data recording
playback and visualization tools
Perform in-vehicle tests
collect data and analyze integrity
Develop interfaces to the vehicles to enable self-driving
Support data collection campaigns for autonomous vehicle program
documentation for features
Create highly efficient product code in C++
Make use of high algorithmic parallelism offered by GPGPU programming (CUDA)
How You'll Work.
Team & Collaboration
Working with vendors developing innovative sensors for vehicles; Working with our car teams and control teams to develop interfaces to the vehicles to enable self-driving
Communication Scope
Great communication and analytical skills
Full Job Description
The Autonomous Vehicles Platform team is now looking for a Senior System Software Engineer. 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 in designing, developing and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction. **What You Will Be Doing:** * Create and optimize software architecture and frameworks for real-world performance while matching or exceeding customer requirements. * Working with vendors developing innovative sensors for vehicles. * Developing sensor drivers, plug-ins, and processing functions around sensor data. * Create highly efficient sensor data recording, playback and visualization tools. * Performing in-vehicle tests, collecting data and analyzing integrity. * Working with our car teams 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. * Creating highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA), and following quality and safety standards such as defined by MISRA. **What We Need to See:** * BS/MS in Computer Engineering, Computer Science or related field (or equivalent experience). * Excellent C and C++ programming skills. * 8+ years of proven 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. * Background on Linux, Android, and/or other real-time operating systems. * Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GP
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