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NVIDIA

Designs the chips and software that power AI

Formal Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • Bachelor of Science or Master of Science in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
  • At least 3 years of application-specific integrated circuit verification experience.
  • Knowledge of formal verification methodologies and techniques; experience with formal verification tools such as JasperGold or VC Formal is preferred.
  • Ability to implement abstraction techniques for effective verification.
  • Scripting proficiency with Tcl, Perl, and Python.
  • Familiarity with verification methodology, tools, and flows at unit, subsystem, and system-on-chip levels.
  • Ability to collaborate effectively with members of a distributed team.

Responsibilities

  • Understand key design behaviors from a formal verification perspective, write clear test plans, and implement them using formal techniques, including developing environment assumptions, assertions, and cover properties.
  • Develop abstraction models to address complexity challenges and obtain full proofs or bounded proofs with sufficient coverage.
  • Debug register-transfer-level designs to identify failure causes and complete coverage sign-off.
  • Drive tools to achieve their best performance.
  • Contribute to flow and script development to improve team efficiency.
  • Work with architects, designers, and others to ensure deliverable quality.

Desired Qualifications

  • Strong analytical and problem-solving skills and the ability to quickly understand complex designs, or experience with different verification methodologies.
  • Prior knowledge or experience verifying different protocols or data transmission.
  • Fluency in spoken and written English.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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