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 @ 3
Communication @ 3
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
The NVIDIA Infrastructure Group is seeking world-class programmers to design, implement, and debug the next generation of large-scale, general-purpose graphics and computing chips. In this role, you will help build the core verification infrastructure that drives the development of our GPU and Tegra chips.
This strongly object-oriented C++ and Python infrastructure encompasses several extensive applications that allow us to efficiently verify the world's largest chips with a sophisticated distributed computing execution and triage environment. Come and join our diverse, international, fast-paced team with high production-quality standards.
Responsibilities
- Develop environments to program and test next-generation GPU and SoC features well before they are integrated into products or supported by driver software.
- Collaborate with colleagues across architecture, hardware, and software teams to unlock the functionality and performance of next-generation NVIDIA chips.
- Participate in the full chip development lifecycle — from architectural specification through release to production.
Requirements
- BS or MS (or equivalent experience) in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- 5+ years of professional experience and strong proficiency in C++ programming.
- Familiarity with compute architecture, OS design, or driver development (a strong plus).
- Python programming experience (a plus).
- Excellent communication skills.
Compensation & Benefits
- Base salary ranges by level:
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
Additional Information
- #LI-Hybrid
- Applications for this job will be 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 committed to fostering a diverse work environment.