Tech Stack
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.
AI
Communication @ 7
GPU
Linux @ 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
As a Compute Systems Software Engineer at NVIDIA, you will work on kernel drivers and embedded software for Data Center products. You will collaborate with software, hardware, architecture, OEM support, and partner teams to develop features for upcoming product generations, deploy and maintain products, and support future product directions.
Responsibilities
- Design software for next-generation compute GPU solutions.
- Develop and maintain software technologies that enable and support NVIDIA GPU hardware across Linux and Windows operating systems, ensuring optimal performance and feature functionality.
- Implement cross-platform software solutions supporting new and evolving hardware architectures.
- Collaborate with global internal teams across software, hardware, architecture, and OEM support.
- Develop features for clock, thermal, and power management.
- Build telemetry, device initialization, device management, and reset capabilities.
- Implement memory-management solutions and performance optimizations for GPU platforms.
- Contribute to embedded software development supporting GPU functionality and platform integration.
Requirements
- Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience.
- At least 8 years of hands-on experience developing low-level device drivers, especially for Linux.
- Strong software engineering skills and a drive to solve challenging problems.
- Strong programming skills in C and C++.
- Detailed knowledge of operating system internals and various device driver models.
- Low-level operating system knowledge.
- Strong written and oral English communication skills for collaborating with engineers worldwide.
- Ability to work independently with minimal direction.
- Self-motivated, passionate, and eager to learn, grow, and create.
- Windows experience is a plus.
Benefits
- Equity and benefits are provided.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until September 1, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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