Join the NVIDIA Developer Tools team and empower engineers throughout the world developing groundbreaking products in Automotive, VR, Gaming, Deep Learning, and High Performance Computing. See your efforts in action as developers use your products to debug, profile and analyze the performance of their systems/applications. Watch with satisfaction as 3rd-party developers use the debug API that you helped develop to create custom debug tools to tackle complex customer debugging problems. Innovate as you develop the debug and performance analysis capability of future generations of NVIDIA GPUs. Be a part of the team that brings new GPU technologies to market with sophisticated simulation/emulation systems and be among the first to breathe life into new silicon.
We are looking for a senior software engineer to join our efforts to advance our compute debugger products to the next level. The position will be part of a dynamic, worldwide team that develops and maintains and enhances a portfolio of debug tools and libraries that are hosted and targeting OSes including Windows, Linux, and other embedded system real time OSes (RTOS).
What you’ll be doing:
You will apply your knowledge of debuggers, binary instrumentation and computer architecture to enhance existing compute debugger tools and libraries, and extend them to new use cases. You should be comfortable working in C, C++, Python and assembly on a wide range of supported platforms: Windows, Linux, and embedded real time OSes. You should also be comfortable interacting with different development teams, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems. You will:
Architect, design, and implement solutions to integrate new debugger features into existing NVIDIA developer tools products.
Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency.
Document requirements and designs, and review documents with teams throughout NVIDIA.
Develop the compute debugger tools for GPUs running on Linux, Windows, and embedded operating systems.
Effectively estimate and prioritize tasks in order to create realistic delivery schedules.
Provide peer reviews to other engineers, including feedback on performance, scalability and correctness.
Mentor junior engineers.
What we need to see:
8+ years of experience
BS or MS in Computer Science or equivalent experience
Strong computer science fundamentals - algorithms and data structures, programming languages, parallel computing, and system software.
Strong programming ability in C, C++, Assembly Language and scripting languages
Excellent knowledge of computer architecture
Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction
Excellent communication and interpersonal skills along with the ability to work in a dynamic and distributed team.
Ways to stand out from the crowd:
Expert knowledge in GPU architectures and GPU programming.
Knowledge of CUDA programming
Experience and/or interests in creating developer tools like debuggers and profilers.
Masters or PhD in Computer Science, Mathematics, or related engineering fields.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, driven, and passionate about software tools, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 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
- 8+ years of experience
- BS or MS in Computer Science or equivalent experience
- Strong computer science fundamentals (algorithms, data structures, parallel computing, system software)
- Proficient in C, C++, Python, and Assembly Language
- Experience with debuggers and binary instrumentation
- Excellent knowledge of computer architecture
- Experience developing for Windows, Linux, and embedded real-time operating systems (RTOS)
- Ability to self-manage, communicate, and adapt in a fast-paced environment
- Excellent communication and interpersonal skills and ability to work in distributed teams
- Expert knowledge in GPU architectures and GPU programming
- Knowledge of CUDA programming
- Experience building developer tools such as debuggers and profilers
- Masters or PhD in Computer Science, Mathematics, or related field
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 — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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.”
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