NVIDIA is seeking an engineer who enjoys developing software and uncovering why complex professional applications behave the way they do. You will develop and optimize graphics software, analyze real-world application workloads, design experiments to isolate bottlenecks, debug quality and performance regressions, and collaborate with driver teams to turn your findings into measurable improvements.
You will work with leading professional applications used for design, engineering, digital content creation, and visualization. You will also contribute to the development and analysis of industry-standard workstation benchmarks. This role offers opportunities to solve challenging technical problems while learning about advanced graphics, GPU computing, AI-assisted engineering, and emerging workstation technologies.
What you’ll be doing
Develop, debug, and validate graphics software and optimizations that improve professional application performance on NVIDIA GPUs.
Analyze professional workstation applications and identify opportunities to improve performance and user experience.
Design experiments and develop analysis techniques to isolate complex application-performance bottlenecks.
Profile application and graphics API workloads using traces, performance counters, and other analysis techniques.
Create tools, scripts, and automated workflows, including AI-assisted techniques, for performance analysis, regression detection, and validation.
Collaborate with application developers and NVIDIA driver, architecture, and hardware teams to evaluate and deliver performance improvements.
Develop representative workstation benchmarks that capture meaningful real-world application behavior.
What we need to see
BS, MS, or PhD in Computer Science, Software Engineering, Computer Engineering, or a related field—or equivalent experience.
Strong C/C++ programming skills.
5+ years experience with software performance analysis, profiling, optimization, or debugging.
Understanding of computer architecture, operating systems, and how applications interact with graphics APIs and GPU hardware.
Familiarity with source-control systems such as Perforce or Git.
Experience with software development methodologies such as design reviews and code reviews.
Ability to develop and debug software in a Windows OS environment.
Strong analytical, problem-solving, communication, and collaboration skills.
Experience using AI-assisted development tools and enthusiasm for learning new technologies.
Ways to stand out from the crowd
Knowledge of graphics APIs such as OpenGL, Direct3D, or Vulkan.
Experience developing low-level systems, graphics, driver, or performance-analysis software.
Experience with application benchmarks or automated performance testing.
Knowledge of statistical techniques for analyzing variance, repeatability, and performance results.
Scripting experience with Python, Perl, or similar languages.
Are you an analytical and highly motivated engineer who enjoys developing graphics software, understanding complex application workloads, and finding effective ways to make them run faster? If you are passionate about workstation performance and solving challenging engineering problems, you may be a great fit for NVIDIA.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD.You will also be eligible for equity and benefits.
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.Skills Required
- BS, MS, or PhD in Computer Science, Software Engineering, Computer Engineering, or a related field, or equivalent experience
- Strong C and C++ programming skills
- 5+ years of experience with software performance analysis, profiling, optimization, or debugging
- Understanding of computer architecture, operating systems, graphics APIs, and GPU hardware interactions
- Familiarity with source-control systems such as Perforce or Git
- Experience with design reviews and code reviews
- Ability to develop and debug software in a Windows environment
- Strong analytical, problem-solving, communication, and collaboration skills
- Experience using AI-assisted development tools and enthusiasm for learning new technologies
- Knowledge of graphics APIs such as OpenGL, Direct3D, or Vulkan
- Experience developing low-level systems, graphics, driver, or performance-analysis software
- Experience with application benchmarks or automated performance testing
- Knowledge of statistical techniques for analyzing variance, repeatability, and performance results
- Scripting experience with Python, Perl, or similar languages
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Feedback suggests equity grants, stock options/RSUs, and a discounted ESPP materially boost total compensation and can deliver significant wealth-building when the stock performs well.
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Healthcare Strength — Feedback suggests medical, dental, and vision plans with in-network preventive care at 100%, telehealth, and concierge-style support are comprehensive and valued.
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Parental & Family Support — Feedback suggests up to 22 weeks fully paid parental leave, fertility coverage, and adoption/surrogacy reimbursement provide strong family-focused benefits.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”







