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
Mathematics @ 3
Perl @ 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
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work.
NVIDIA is looking for sharp, curious, and motivated students who are passionate about formal verification, digital design, and computer architecture. In this role, you will help verify advanced processor and accelerator designs using mathematical reasoning, assertions, model checking, and formal verification tools. You do not need to already be an expert in every tool or architecture. We are looking for candidates with strong fundamentals, a problem-solving mindset, and excitement for using formal methods to prove hardware correctness. You will work with experienced formal verification engineers, architects, and RTL designers to understand design intent, identify important behaviors, write assertions and assumptions, debug counterexamples, and help improve the quality of NVIDIA silicon.
Responsibilities
- Learn and apply formal verification techniques to real processor and accelerator designs.
- Understand design behavior from specifications, RTL, and discussions with design teams.
- Write assumptions, assertions, and cover properties to verify important microarchitectural behavior.
- Debug formal failures and counterexamples to identify RTL bugs, property issues, or constraint problems.
- Use abstraction, modeling, and scripting to improve proof convergence and team productivity.
- Clearly communicate verification progress, coverage, risks, and findings.
Requirements
- BS/MS/Ph.D. or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Mathematics.
- Strong analytical and collaboration skills to solve complex problems.
- Familiarity with Verilog and SystemVerilog.
- Programming or scripting experience in Python, Tcl, Perl, C/C++ or similar.
- Ability to learn quickly, ask good questions, and collaborate effectively.
Ways to stand out
- Hands-on experience with formal tools such as JasperGold, VC Formal, or similar.
- Experience writing SystemVerilog Assertions (SVA).
- Passion for formal verification, digital design, computer architecture, or hardware correctness.
- Understanding of CPU, GPU, accelerator, SoC, memory-system, or protocol microarchitecture.
- Proven AI applications on engineering enhancement and improvements.
Compensation & Benefits
- Base salary ranges provided by level: Level 1: 100,000 USD - 166,750 USD; Level 2: 116,000 USD - 189,750 USD. Final base salary will be determined based on location, experience, and pay of employees in similar positions.
- Eligible for equity and additional benefits (link referenced in original posting).
Additional information
- Applications accepted at least until July 13, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.