Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 4+ yearsEducation: bachelorsSkills: ["Written communication","Presentation skills","Project coordination"]

Develop and optimize CUDA features in the driver/UMD layer, helping advance the CUDA APIs and programming model. You’ll architect and implement new capabilities, coordinate cross-team development, and extend CUDA programming models such as CUDA Graphs to improve scheduling efficiency for AI/ML workloads. The role requires strong C/C++ and system-level OS interface knowledge, with a focus on writing maintainable, well-tested, multithreaded code across multiple operating systems.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
3 days ago

Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Develop and optimize CUDA features in the driver/UMD layer, helping advance the CUDA APIs and programming model. You’ll architect and implement new capabilities, coordinate cross-team development, and extend CUDA programming models such as CUDA Graphs to improve scheduling efficiency for AI/ML workloads. The role requires strong C/C++ and system-level OS interface knowledge, with a focus on writing maintainable, well-tested, multithreaded code across multiple operating systems.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect and implement new CUDA driver/UMD features for NVIDIA’s compute platform.
  • •Coordinate and drive development efforts across multiple teams to deliver improvements.
  • •Help define forward-looking enhancements to CUDA APIs and the programming model.
  • •Extend CUDA programming models and functionality, including CUDA Graphs, to improve scheduling for AI/ML workloads.
  • •Write effective, maintainable, and well-tested code and develop across multiple operating systems.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS or MS in Computer Science, Electrical Engineering, or related field (or equivalent experience).
  • •Strong C and C++ programming skills.
  • •Minimum 4 years of related development experience, including driving projects across multiple teams.
  • •Background with OS interfaces for threads, process control, and virtual memory, and understanding system-level architecture (interconnects, memory hierarchy, interrupts, memory-mapped I/O).
  • •Experience writing and debugging multithreaded programs with large codebases.
Experience:4+ yearsParallel computingAI/MLSystem softwareMultithreadingGPU computing
Education:Bachelor's
Skills:Written communicationPresentation skillsProject coordination
Tech Stack:CC++CUDACUDA GraphsLinux

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
WebsiteLinkedInGlassdoor