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 and 3rd party tool developers use your products to debug, profile and analyze the correctness of their systems/applications using the products and low-level API that you contributed to as a member of the Developer Tools team. 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.
NVIDIA is looking for a senior software engineer to join our efforts to advance the state of our Compute Sanitizer product to the next level. The position will be part of a dynamic, world-wide team that develops and maintains several desktop and mobile Developer Tools products that are hosted and targeting OSes including Windows, Linux, Android and other embedded system real time OSes (RTOS).
What you’ll be doing:
You will apply knowledge of compute programming models and compute architecture to build tools that provide actionable feedback to compute developers. You should be comfortable working in existing driver code and application code as well as writing new shared libraries and targeted performance tests, and have an eagerness to learn about new compute and graphics drivers, GPU architectures and operating systems.
Develop the Compute Sanitizer (which is a suite of memory checker) tools for GPUs running on Linux, Windows, and embedded operating systems.
Work with tools, compiler, architecture and driver teams to design, implement and verify new features in the Compute Sanitizer stack.
Work closely with internal and external partners including other peer organizations within NVIDIA.
Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.
Write fast, effective, maintainable, reliable and well-documented code.
Provide peer reviews to other engineers, including feedback on performance, scalability and correctness.
Document requirements and designs, and review documents with teams throughout NVIDIA.
Mentor junior engineers.
What we need to see:
BS or MS in Computer Science or equivalent experience
8+ years of experience
Strong programming ability in C, C++, Assembly Language and scripting languages
Excellent system programming expertise: memory management, processes/threads management, debugging and profiling
Excellent knowledge of computer architecture of x86 or ARM CPUs
Strong problem solving and debugging skills
Familiar with low-level programming using assembly languages
Source control understanding (git, Perforce, etc.)
Ability to self-manage, communicate, and adapt in a fast paced, high demand environment with changing priorities and direction
Excellent communication skills, written and verbal
Ways to stand out from the crowd:
CUDA/OpenCL knowledge
Experience with code patching
ELF/DWARF knowledge
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 or MS in Computer Science or equivalent experience
- 8+ years of experience
- Strong programming ability in C
- Strong programming ability in C++
- Assembly language knowledge / low-level programming using assembly
- Experience with scripting languages
- System programming expertise: memory management, processes/threads management, debugging and profiling
- Excellent knowledge of x86 or ARM CPU architecture
- Strong problem solving and debugging skills
- Source control understanding (git, Perforce, etc.)
- Ability to self-manage, communicate, and adapt in a fast paced environment
- Excellent written and verbal communication skills
- CUDA or OpenCL knowledge
- Experience with code patching
- ELF/DWARF knowledge
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.”
