We are hiring engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality.
CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!
What you'll be doing:
You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!
In this role, you will:
Develop Software on Pre-Si environments(Simulation/Emulation)
Own and drive CUDA enablement for new Silicon and Architecture
Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams
Write effective, maintainable, and well-tested code
Developing code for multiple operating systems
What we need to see:
BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
2+ years of relevant systems software development experience
Strong C programming skills, knowledge of parallel programming
Excellent knowledge of computer system architectures
Experience with operating system interfaces for threads, process control, and virtual memory
Experience writing and debugging multithreaded programs
Background with working with large codebases
Deep understanding of technology and passionate about what you do
Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups
Ways to stand out from the crowd:
Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Knowledge of memory coherence and consistency models
Background with kernel mode development
Experience with Windows, Linux, or macOS driver development
Some familiarity with C++, CUDA experience
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 Engineering, Computer Science, Electrical Engineering or equivalent experience
- 2+ years of relevant systems software development experience
- Strong C programming skills
- Knowledge of parallel programming
- Excellent knowledge of computer system architectures
- Experience with OS interfaces for threads, process control, and virtual memory
- Experience writing and debugging multithreaded programs
- Background working with large codebases
- Good written communication and strong collaborative skills
- Understanding of system level architecture (interconnects, memory hierarchy, interrupts, MMIO)
- Knowledge of memory coherence and consistency models
- Background with kernel mode development
- Experience with Windows, Linux, or macOS driver development
- Familiarity with C++
- CUDA experience
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.”
