Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Hiring @ 4
Communication @ 4
Debugging @ 4
API @ 4
CUDA @ 4
GPU @ 4
Deep Learning @ 7
AI @ 7
OpenGL @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. NVIDIA is hiring software engineers to work on the CUDA driver for Windows. CUDA is NVIDIA’s platform for accelerating general purpose computation on the GPU. The CUDA driver interacts with GPU hardware, kernel mode drivers, user mode drivers, and the operating system to deliver features and improvements for workloads ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality.
Responsibilities
- Architect and implement new features for the CUDA driver
- Coordinate development efforts across multiple teams
- Help define forward-looking improvements to the CUDA APIs and programming model
- Write effective, maintainable, and well-tested code
- Focus on developing code that targets the Microsoft Windows operating system
Requirements
- BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
- 8+ years of relevant industry experience or equivalent academic experience after BS
- Strong C and C++ programming skills
- Experience working with large codebases
- Experience with operating system interfaces for threads, process control, and virtual memory
- Experience writing and debugging multithreaded programs
- Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped I/O
- Strong interest in system software
- Knowledge of memory coherence and consistency models
- Good written communication
Ways to stand out from the crowd
- Windows Display Driver Model (WDDM) experience
- Experience with game development
- Background in computer graphics (OpenGL, Vulkan, DirectX)
- Experience writing Windows device drivers
- Experience with kernel mode development
Compensation and benefits
- Base salary ranges (determined by location, experience, and comparable pay):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits (link to NVIDIA benefits referenced in the posting).
Additional information
- Applications for this job will be accepted at least until April 7, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and values diversity in hiring and promotions.