NVIDIA Logo

NVIDIA

Senior Systems Software Engineer, CUDA and AI HW Profiler

Posted 14 Hours Ago
In-Office or Remote
2 Locations
152K-288K Annually
Senior level
In-Office or Remote
2 Locations
152K-288K Annually
Senior level
Design and implement GPU performance profiling tools focused on AI applications. Build features used by CUDA developers, collaborate with NVIDIA compiler and CUDA driver teams, and influence tool design. The role requires strong C++ software engineering experience, GPU hardware knowledge, and familiarity with performance tools, with preferred expertise in CUDA kernel programming, profiling, and DWARF parsing.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.


NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and develop groundbreaking performance tools for GPUs that cater to both newcomers and top-tier CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow’s breakthroughs!


What you'll be doing:

  • Design and implement innovative features for our GPU performance profiling tools with a focus on AI applications.
  • Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.
  • Collaborate and interact with other teams within NVIDIA, including compiler team as well as the CUDA driver team, to influence and design new features from the bottom up.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • Expertise in CUDA kernel programming and profiling.
  • Knowledgeable in parsing DWARF
  • Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.
  • Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

A Minute Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
200K-350K Annually
Senior level
200K-350K Annually
Senior level
Fintech • Software • Financial Services
Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.
Top Skills: Llm ApisModel ServingPostgresReactReact NativeRustTokioTypescript
6 Minutes Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
200K-235K Annually
Senior level
200K-235K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • HR Tech • Machine Learning • Software • Big Data Analytics
Own revenue for the West territory by activating and expanding broker, consultant, and employer partnerships in the 200–999 life segment. Build and manage your pipeline, run deals end-to-end, meet quota, and implement tracking and processes to keep territory performance predictable.
10 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
115K-172K Annually
Entry level
115K-172K Annually
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Drives enterprise sales growth across the Chicago territory by managing strategic accounts, generating pipeline, leading consultative sales cycles, and expanding customer adoption of GitLab’s AI-powered DevSecOps platform. Builds executive relationships, develops account plans, coordinates cross-functional teams and partners, manages negotiations and implementations, and contributes to forecasting, win/loss analysis, and go-to-market improvements.
Top Skills: Artificial IntelligenceDevsecopsGitlabSaaSSalesforce

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account