System Software Engineer - Autonomous Vehicles

NVIDIA·Shanghai, Shanghai, China·posted 10d ago · last seen just now

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About interviewing at NVIDIA

Recruiter screen, a technical screen mixing resume deep-dive with live coding, a hiring-manager conversation, then a panel of three to five 45–60 minute rounds: coding, systems design under hardware constraints, a domain deep-dive, and behavioral. Highly team-specific — you interview directly with the team — with C++ depth expected almost universally and decisions sometimes taking five-plus weeks after the panel.

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Description

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:

  • BS/MS or higher in computer science or a related engineering field
  • Excellent C and C++ programming
  • 5+ years of relevant proven experience
  • 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

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