Senior Formal Verification Engineer

Posted 20 Hours Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Formal Verification Engineer at NVIDIA, you will verify the design and implementation of CPUs and high-performance computing solutions by developing formal verification methodologies, writing test plans, and ensuring design correctness through advanced verification techniques. You will collaborate with a skilled team to achieve full or bounded proofs using various formal verification tools.
Summary Generated by Built In

NVIDIA is looking for Formal Verification Engineer to help verify the design and implementation of industry’s leading CPUs and other High Performance Computing Solutions. As a Formal Verification Engineer, you will play a key role in ensuring the functional correctness and completeness of our next generation chip designs. You will collaborate with a team of highly skilled engineers to develop and implement formal verification methodologies using formal verification tools, define the verification scope, and ensure design correctness. You will employ advanced formal techniques to obtain sufficiently bounded proofs while working with architects, designers, and pre- & post-silicon verification teams to accomplish your tasks.

What will you be doing:

  • Identify key behaviors for verification to write clear testplans for complex designs.

  • Implement testplans using the latest formal techniques, including the development of environment assumptions, assertions and cover properties.

  • Develop abstraction models to overcome complexity challenges and obtain full proofs, or bounded proofs with sufficient coverage.

  • Drive tools to realize their best performance.

  • Debug RTL to identify causes of failure scenarios.

  • Contribute to flow and script development to improve team efficiency.

  • Articulate formal verification coverage of the design to partners.

What we are looking for:

  • BS (or equivalent experience)/MS/PhD with 7+ years of experience in CS/CE/EE/Mathematics.

  • Solid understanding of GPU/CPU architectures and designs.

  • Strong analytical skills to solve complex problems.

  • Knowledge of formal verification methodologies and techniques.

  • Able to implement abstraction techniques for effective verification.

  • Hands-on experience with Verilog / System Verilog HDLs, temporal logic assertions, and able to understand complex RTL quickly.

  • Excellent command of scripting using TCL, Perl, and Python.

  • Preferable experience with Formal Verification Tools (eg. Jasper Gold, VC Formal )

  • Excellent interpersonal skills, able to effectively collaborate and work with members of a distributed team.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most resourceful and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

The base salary range is 164,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

Top Skills

Perl
Python
System Verilog
Tcl
Verilog
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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