Senior CUDA Driver Engineer: Systems Software Leader

NVIDIA Gruppe

Santa Clara (CA)

On-site

USD 272,000 - 431,000

Full time

4 days ago
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Job summary

NVIDIA is seeking senior engineers to advance the CUDA driver, a core component enabling accelerated computing on the GPU. You will architect and implement CUDA features, lead multi-team efforts, and collaborate with hardware groups to shape the CUDA APIs and programming model.

The role focuses on performance modeling, cross-OS development, and delivering robust, well-tested code within a demanding, fast-moving environment.

Qualifications

  • Bachelor or Master in Computer Science, Electrical Engineering, or related field (or equivalent experience).
  • 15+ years of relevant systems software development experience.
  • Strong C programming skills.
  • Experience designing, debugging, and maintaining complex software stacks.
  • Background with operating system interfaces for threads, process control, and virtual memory.
  • Experience with HW/SW co-design, perf. modeling using emulation/simulation, creating SW programming model exposures for HW features.
  • Excellent interpersonal, verbal, and written communications skills with ability to work under tight deadlines.
  • Strong collaborative skills and ability to influence in a matrix environment.

Responsibilities

  • Evangelize, architect, and implement new CUDA features.
  • Oversee and drive development efforts across multiple teams.
  • Collaborate with hardware architecture teams.
  • Help define forward-looking improvements to the CUDA APIs and programming model.
  • Design and maintain performance and precision modeling.
  • Write effective, maintainable, and well-tested code.
  • Develop code for multiple operating systems.

Skills

C programming
OS interfaces
System software
HW/SW co-design
Performance modeling
Collaboration
Verbal/written communication

Education

Bachelor of Science in CS/EE
Master of Science in CS/EE

Tools

Kernel mode development

Job description

NVIDIA is seeking senior engineers to advance the CUDA driver, a core component enabling accelerated computing on the GPU. You will architect and implement CUDA features, lead multi-team efforts, and collaborate with hardware groups to shape the CUDA APIs and programming model.

The role focuses on performance modeling, cross-OS development, and delivering robust, well-tested code within a demanding, fast-moving environment.

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