NVIDIAPosted 4w ago

System Software Engineer - Autonomous Vehicles

System Software Engineer - Autonomous Vehicles at NVIDIA scores 80 out of 100 on AI centrality, which makes it a Level 4 role on this board.

China, ShanghaiseniorFull time

AI in this role

Develop and optimize end-to-end system software for autonomous vehicles and robotics at NVIDIA.

ccudagpu

computer-visionsystem-softwareautonomous-vehiclesperformance-optimizationkernelparallel-computing

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.

Our team is looking for Senior System Engineers specializing in self-driving vehicle technology. As a senior member you will be responsible for integrating and maintaining end-to-end software with Sensing/Perception/Localization/Planning/Control included, ensuring its stable and safe deployment in the field.

What you'll be doing:

Develop and maintain the application as well as vital tools for autonomous driving
Diagnose and tackle real exciting problems to provide the world with the best driving experience
Vertical stack performance optimization

What we need to see:

MS or higher in computer science or a related engineering field
Excellent C and C++ programming
Experienced in developing system software in user space with capability digging into kernel and even low-level hardware
Good understanding of Operating Systems, threading, synchronization and parallel computing to build highly efficient applications
Familiar with underlying parallel architectures, CPU/GPU/DLA/DSP
Excellent analytical, communication and collaboration skills in international organization

Ways to stand out from the crowd:

Software development experience with CUDA
Prior experience in: Autonomous vehicles, Robotics, Computer Vision and/or ML
Understanding Real-time operating systems and its Kernel

#deeplearning

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionSystem SoftwareAutonomous VehiclesPerformance OptimizationKernelParallel ComputingCCuda

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where system software was part of your work. What did you do?
Tell me about a project where autonomous vehicles was part of your work. What did you do?
Tell me about a project where performance optimization was part of your work. What did you do?
Tell me about a project where kernel was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Computer Vision, System Software, Autonomous Vehicles, Performance Optimization, and Kernel. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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