Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
NVIDIA

Senior Systems Software Engineer, CUDA, AI HW Profiler

NVIDIA

. Design and implement innovative features for GPU performance profiling tools focused on AI applications .

Posted 10/31/2026full-timeRemote • Texas • United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in C++ programming and CUDA kernel programming, with a strong focus on developing performance profiling tools for GPU applications. Collaborates effectively with cross-functional teams to design innovative features that enhance tool functionality.

Highest-signal resume keywords
C++ ProgrammingCUDA Kernel ProgrammingGPU Performance ProfilingDWARF ParsingSoftware Engineering

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
C++ ProgrammingCUDA Kernel ProgrammingGPU Performance ProfilingDWARF ParsingSoftware Engineering
Soft Skills
Outstanding Interpersonal SkillsCollaborationMotivation to Learn
Tools & Technologies
GPU HardwarePerformance Tools
Certifications & Qualifications
B.S. EE/CS
Industry Keywords
AI ApplicationsCUDA DevelopersProfiling Tools

Tech Stack

Tools & technologies
C++

About the role

Key responsibilities & impact
  • Design and implement innovative features for GPU performance profiling tools focused on AI applications
  • Build tools used by CUDA developers worldwide
  • Collaborate with NVIDIA compiler and CUDA driver teams
  • Influence and design new profiling tool features from the bottom up

Requirements

What you’ll need
  • 5+ years proven experience in software engineering with a focus on performance tools
  • B.S. EE/CS (or equivalent experience)
  • Strong programming skills in C++
  • Existing knowledge of GPU hardware and/or motivated to learn
  • Expertise in CUDA kernel programming and profiling (standout)
  • Knowledgeable in parsing DWARF (standout)
  • Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment (standout)
  • Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team (standout)

Benefits

Comp & perks
  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity
  • Benefits for you and your family