N

NVIDIA

Designs the chips and software that power AI

Formal Verification Engineer New Grad

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A Bachelor of Science or Master of Science in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics, or equivalent experience.
  • Strong analytical skills to solve difficult problems.
  • Knowledge or experience in formal verification techniques.
  • Strong knowledge of CPU and GPU architecture and digital logic.
  • Understanding of abstraction techniques for effective verification.
  • Hands-on experience with hardware description languages such as Verilog or SystemVerilog.
  • Ability to understand register-transfer-level designs quickly.
  • Understanding of temporal logic assertions.
  • Excellent communication skills and ability to work and collaborate effectively with team members.

Responsibilities

  • Develop comprehensive formal verification test plan documents.
  • Identify key behaviors for device-under-test verification and create a verification plan.
  • Develop a verification environment, including environment assumptions, assertions, and cover properties, in the context of the verification plan.
  • Apply formal verification techniques to prove the correctness of digital designs.
  • Debug register-transfer-level designs to identify failure scenarios.
  • Develop scripts to automate the verification process.
  • Review formal setups and proofs with design and verification teams.

Desired Qualifications

  • Experience with formal verification tools such as Jasper, IFV, SMV, or SPIN.

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

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs