Senior System Software Engineer - Cuda Chips

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior System Software Engineer to work on the CUDA driver, a core component of NVIDIA's platform for accelerating general-purpose computation on the GPU. The role involves developing features and improvements for various computational workloads including deep learning, scientific computation, self-driving cars, video games, and virtual reality. Responsibilities include design feedback, modeling, simulation, silicon bringup, and feature deployment, with a focus on CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system.

What you'd actually do

  1. Develop Software on Pre-Si environments(Simulation/Emulation)
  2. Own and drive CUDA enablement for new Silicon and Architecture
  3. Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
  4. Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
  5. Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams

Skills

Required

  • C programming
  • parallel programming
  • computer system architectures
  • operating system interfaces
  • multithreaded programming
  • systems software development

Nice to have

  • system level architecture
  • memory hierarchy
  • interrupts
  • memory-mapped IO
  • memory coherence and consistency models
  • kernel mode development
  • Windows driver development
  • Linux driver development
  • macOS driver development
  • C++
  • CUDA

What the JD emphasized

  • strong system software programming skills
  • detailed understanding of operating systems and kernel programming
  • hardware architecture
  • excellent communication and planning skills
  • BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
  • 5+ years of relevant systems software development experience
  • Strong C programming skills
  • knowledge of parallel programming
  • Excellent knowledge of computer system architectures
  • Experience with operating system interfaces for threads, process control, and virtual memory
  • Experience writing and debugging multithreaded programs
  • Background with working with large codebases
  • Deep understanding of technology and passionate about what you do
  • Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups