SOC Verification Engineer

1 Month ago • 3 Years + • Research & Development

Job Summary

Job Description

NVIDIA seeks a passionate and highly motivated SOC Verification Engineer to work on complex CPU-GPU memory systems at the SOC level. Responsibilities include defining test plans, architecting testbenches for verification, verifying micro-architecture/architecture features, collaborating with architects and designers, building reusable functional models, and developing automation tools. The ideal candidate will have experience in ASIC development, high-performance CPU/GPU memory subsystems, and industry-standard verification methodologies.
Must have:
  • 3+ years ASIC development experience
  • Experience with high-performance CPU/GPU memory subsystems
  • Knowledge of industry-standard verification methodologies
  • Test plan definition and testbench architecture
  • Micro-architecture/architecture verification
Good to have:
  • Exposure to coherency protocols, cache verification, and Network-on-Chip (NoC)
  • Knowledge of AMBA/CHI protocols
  • Automation and tool development skills
  • Strong communication and collaboration skills
Perks:
  • Competitive salaries
  • Generous benefits package

Job Details

NVIDIA is pioneer in building the world's fastest highly-parallel processing systems for deep-learning, high-performance computing, and automotive applications. We are seeking a passionate, innovative, and highly motivated verification engineer to work on the complex CPU-GPU memory systems at SOC level.

We are now looking for a SOC Verification Engineer. NVIDIA is pioneer in building the world's fastest highly-parallel processing systems for deep-learning, high-performance computing, and automotive applications. We are seeking a passionate, innovative, and highly motivated verification engineer to work on the complex CPU-GPU memory systems.

What You’ll Be Doing:

  • Responsible for defining test plans & architecting testbenches for verification of the CPU/GPU memory subsystem.

  • Verify micro-architecture/architecture features at subsystem or full chip testbenches.

  • Work with architects, designers, and pre-silicon verification teams to accomplish your tasks.

  • Build reusable bus functional models, traffic generators, monitors, checkers and scoreboards following coverage driven verification methodology.

  • Developing innovative tools/automation to stress the design under test and cover the verification space.

What We Need To See:

  • BE/BS or Mtech/MS in electrical/electronics engineering or computer engineering

  • 3+ years of experience working on ASIC development

  • Exposure to  micro-architecture of high-performance CPU or GPU memory subsystems

  • Expose to industry standard verification methodologies

Ways To Stand Out From The Crowd:

  • Exposure to coherency protocols, cache verification and network-on-chip (NOC)

  • Exposure to CPU memory subsystem and knowledge of AMBA/CHI protocols.

  • Innovative mindset, ability to use automation/tools to cover vast verification spaces.

  • Good communication skills and ability collaborate across multiple teams.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and self-reliant engineer with a real passion for technology, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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