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.
Python @ 6
GPU @ 3
AI @ 3
- 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 GPU Architecture Group is looking for a software engineer to modernize and scale GPU development. As GPU designs become more complex, hardware models, testbenches, build scripts, and code generation flows must adapt. The development workflow will be parameterized and data-driven so it adapts without manual rework. This role applies modern software engineering techniques, including AI-assisted development, to a hardware domain and helps spread those practices across a broader team.
Responsibilities
- Design and build automation to scale GPU development processes across hardware models, testbenches, and build systems.
- Develop and extend code generation flows that automate configuration and adapt to new designs without manual rework.
- Refactor and improve large, complex codebases to be more parameterized, data-driven, and maintainable.
- Collaborate with ASIC design and architecture teams to align on automation approaches.
- Adapt modern software engineering workflows to GPU architecture development and find opportunities to set a higher standard.
- Establish and maintain high standards for software quality and consistency across shared infrastructure.
Requirements
- B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience).
- Strong software engineering fundamentals and programming skills (Python, C++, or similar).
- Experience with build systems, code generation, or design automation flows.
- 3 years or more experience in relevant roles.
- Motivation to engage with and refine sizable, complicated codebases — converting legacy systems into maintainable, well-structured infrastructure.
- Familiarity with hardware development workflows (modeling, verification, or similar).
- Up to date with modern software engineering methods including CI and AI-powered tooling.
- Effective collaboration skills for working across team and functional boundaries (architecture, ASIC, software).
Ways to Stand Out
- Experience building or maintaining hardware build automation infrastructure at scale.
- Background in parameterized code generation or template-driven build systems.
- Track record of improving developer efficiency through tooling and automation.
- Familiarity with GPU or ASIC development processes.
- Experience with configuration management for complex hardware IP.
Compensation & Benefits
- Base salary ranges provided: 152,000 USD - 241,500 USD for Level 3; 184,000 USD - 287,500 USD for Level 4.
- You will also be eligible for equity and benefits (see NVIDIA benefits).
Additional Information
- Applications for this job will be accepted at least until July 6, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment and does not discriminate on the basis of protected characteristics.