Role at a glance
- Salary
- $100K – $189.8K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- BS/MS/Ph.D. or equivalent experience in CS/CE/EE/Mathematics
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Role Summary
This student role supports formal verification of NVIDIA processor and accelerator designs using mathematical reasoning, assertions, model checking, and formal verification tools. The role works with formal verification engineers, architects, and RTL designers to help establish hardware correctness and improve the quality of NVIDIA silicon.
What You'll Do
- Learn and apply formal verification techniques to processor and accelerator designs.
- Understand design behavior from specifications, RTL, and discussions with design teams.
- Write assumptions, assertions, and cover properties to verify 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.
- Communicate verification progress, coverage, risks, and findings.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong analytical and collaboration skills; 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.
Required
- Strong analytical and collaboration skills
- Familiarity with Verilog, SystemVerilog
- Programming or scripting experience in Python, Tcl, Perl, C/C++, or similar
- Ability to learn quickly, ask good questions, and collaborate effectively
Preferred
- Hands-on experience with formal tools such as JasperGold, VC Formal, or similar
- Experience writing SystemVerilog Assertions
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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. Come join the team and see how we can make a lasting impact on the world.
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.
What you will be doing:
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.
What we need to see:
BS/MS/Ph.D. or equivalent experience in CS/CE/EE/Mathematics
Strong analytical and collaboration skills to solve complex problems.
Familiarity with Verilog, 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 from the crowd:
Hands-on experience with formal tools such as JasperGold, VC Formal, or similar.
Experience writing SystemVerilog Assertions.
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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 100,000 USD - 166,750 USD for Level 1, and 116,000 USD - 189,750 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.