Senior System Software Engineer

NVIDIA NVIDIA · Semiconductors · Taipei, Taiwan +1

Senior System Software Engineer at NVIDIA to design key aspects of production GPU kernel drivers, embedded SW, and SOC platforms. The role involves defining, developing, and verifying features for new SoCs, following them through the development process to customer products. Requires strong C programming, C++, low-level driver, SOC system platform experience, and kernel experience with major OS systems. Experience with complex SOC system debugging and AI & GPU computing system architecture is highly valued.

What you'd actually do

  1. Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers.
  2. Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world.
  3. Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products.
  4. Have multiple opportunities to collaborate and communicate effectively with teams across the globe.

Skills

Required

  • BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.
  • 5+ years of significant software development experience.
  • Strong C programming, C++, low-level driver and SOC system platform experience.
  • Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals.
  • Kernel experience with Linux, Android, Chrome, or Windows systems.
  • Experience with complex SOC system debugging is invaluable.

Nice to have

  • Background and strength with complex SOC, AI & GPU computing system architecture design is invaluable.
  • Deep understanding of SOC firmware, power management, and performance.
  • Platform SW, System SW and Device SW stack understanding on SOC.
  • Experience or outstanding delivery with SOC system SW, e.g.: performance tuning and power management.

What the JD emphasized

  • production GPU kernel drivers
  • complex software and hardware designs
  • complex SOC system debugging
  • AI & GPU computing system architecture design