NVIDIA invites world-class and innovative software engineers to join the DirectX Graphics software team. You will focus on DirectX Driver software development for a wide GPU lineup. Our efforts have a significant impact on gaming, graphics, accelerated computing, and AI, reaching academic institutions, startups, and industry leaders globally. We are searching for passionate, hardworking, and creative engineers who can help us reach our engineering goals while also discovering ways to improve and automate engineering workflows through AI agents.
What you'll be doing:
You will develop and maintain outstanding DirectX Graphics Drivers for NVIDIA GPUs, with a focus on supporting single-GPU system architectures. The work involves:
Development of new OS and new chip graphics features for upcoming operating systems and GPU architectures
Developing and driving quality improvement initiatives to deliver the best possible gaming experience on NVIDIA GPUs
Advancement of graphics and AI-based post-processing features and graphics algorithms for high-end rendering
Development of fundamental software stacks and features to use AI in graphics
Exploring methods to automate engineering workflows using AI agents, involving activities such as debugging, testing, triage, code analysis, documentation, and boosting developer efficiency
Building, deploying, and continuously improving agent-based automation solutions that help engineering teams move faster and with higher quality
Collaborating with teams across the company to plan and drive software objectives for the team
What we need to see:
B.E./B.Tech or higher degree in Computer Science/Engineering with significant graphics, system software, AI, or automation-related project or thesis work
5+ years of experience and passion for developing system software, device drivers, embedded software, graphics applications, or engineering automation systems
Strong C/C++ programming skills and a deep understanding of computer graphics, computer architecture, operating system fundamentals, algorithms, and machine learning
Familiarity with building, integrating, or deploying AI agents, AI-assisted developer tools, or automation systems for engineering workflows
Passion for identifying repetitive or high-value engineering workflows and automating them through intelligent software solutions
Diligence and proven ability to multitask in a dynamic environment with shifting priorities and changing requirements
Ways to stand out from the crowd:
Having knowledge of 3D graphics concepts and graphics programming using DirectX or OpenGL is highly advantageous
Working experience inside operating system kernels and device drivers is also a plus
Familiarity with machine learning algorithms and the mathematical concepts that underpin them is useful
Practical experience with LLMs, AI agents, retrieval systems, tool-based automation, automation frameworks, or AI-supported software engineering tools is greatly beneficial
Established skill in spotting and automating routine or complicated engineering workflows with AI-powered systems is a significant benefit
NVIDIA is widely known as a top employer in the technology industry. We have some of the most forward-thinking and driven individuals on our team. If you're creative, dedicated, and passionate about building both world-class graphics software and engineering automation guided by intelligent systems, we want to hear from you.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills Required
- B.E./B.Tech or higher degree in Computer Science/Engineering with graphics, system software, AI, or automation-related project or thesis work
- 5+ years of experience developing system software, device drivers, embedded software, graphics applications, or engineering automation systems
- Strong C/C++ programming skills
- Deep understanding of computer graphics
- Strong knowledge of computer architecture and operating system fundamentals
- Solid algorithms skills and familiarity with machine learning concepts
- Familiarity with building, integrating, or deploying AI agents, AI-assisted developer tools, or automation systems for engineering workflows
- Ability to identify and automate repetitive or high-value engineering workflows
- Diligence and ability to multitask in a dynamic environment with shifting priorities
- Knowledge of 3D graphics concepts and DirectX or OpenGL programming
- Experience working inside operating system kernels and device drivers
- Familiarity with ML algorithms and underlying mathematics
- Practical experience with LLMs, AI agents, retrieval systems, tool-based automation, or automation frameworks
- Proven track record automating engineering workflows with AI-powered systems
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.”
