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.
Software Development @ 4
Linux @ 4
Data Science @ 4
Communication @ 4
Debugging @ 4
API @ 4
CUDA @ 7
GPU @ 4
Deep Learning @ 7
AI @ 7
- 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 growing and forming teams to push the state of the art.
This role is for a motivated systems software engineer with a deep understanding of device drivers and strong C/C++ skills to work on the CUDA Driver, a core component of NVIDIA's platform for accelerating general purpose computation on GPUs. You will deliver features and improvements to better realize NVIDIA hardware for workloads spanning deep learning, scientific computation, data science, self-driving cars, video games, and virtual reality.
Responsibilities
- Use design abilities, coding expertise, and creativity to deliver the compute platform.
- Architect, evangelize, and implement new features for the CUDA Driver.
- Coordinate and drive development efforts across multiple teams.
- Help define forward-looking improvements to the CUDA APIs and programming model.
- Write effective, maintainable, and well-tested code.
- Develop code for multiple operating systems.
Requirements
- BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
- Strong C and C++ programming skills.
- Minimum of 7 years of related development experience (posting indicates multiple positions for varying experience levels open).
- Experience driving projects across multiple teams.
- Experience working with large codebases.
- Background with operating system interfaces for threads, process control, and virtual memory.
- Experience writing and debugging multithreaded programs.
- Good written communication and presentation skills.
Ways to stand out
- Prior experience with parallel computing.
- Understanding of system-level architecture (interconnects, memory hierarchy, interrupts, memory-mapped I/O).
- Knowledge of memory coherence and consistency models.
- Background with kernel-mode development.
- Experience with Linux or Windows systems software development.
Compensation and benefits
- Base salary range: 184,000 USD - 287,500 USD (determined based on location, experience, and pay of employees in similar positions).
- Eligible for equity and benefits (link to NVIDIA benefits referenced in the posting).
Additional information
- Applications accepted at least until April 19, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.