Senior Chip Design Hardware Emulation Engineer

Reposted 2 Days Ago
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2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role focuses on emulating and prototyping complex chip designs, collaborating with various engineering teams, and involves hands-on work in FPGA implementation and verification.
Summary Generated by Built In

NVIDIA is looking for a best-in-class Chip Design – HW Emulation Senior Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in emulating our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company. Join NVIDIA's world-class emulation team in Israel. Our focused team takes Switches/NICs/SoCs designs and program the emulators to behave like our silicon. Are you ready to take on interesting problems and craft solutions? Come check out our team.

What you will be doing:

  • The main responsibility is emulation and prototyping of complex chip designs. This includes defining the methodology and crafting the infrastructure needed to quickly take large chips into hardware emulation platforms.

  • The job also requires close collaboration with design, verification, and software engineers to enable embedded software and application software development.

  • Connecting emulator/FPGA based solutions to real external H/W or virtual targets, taking care of complex testbench and different protocols.

  • This is a role for a versatile engineer that includes RTL design, verification, FPGA partitioning and implementation, scripting, and lab-based bring up of the design.

What we need to see:

  • BSC or MSC in Electrical Engineering or Computer Science or equivalent experience

  • 4+ years working in the semiconductor industry.

  • Hands-on pre-silicon verification or design experience.

  • Experience in building test-benches and debugging simulation failures.

  • Experience in scripting with Python/TCL/C/Perl/Unix Shell

  • Strong interpersonal skills and ability & desire to innovate.

Ways to stand out from the crowd:

  • Experience with HW emulation platforms.

Skills Required

  • BSC or MSC in Electrical Engineering or Computer Science or equivalent experience
  • 4+ years working in the semiconductor industry
  • Hands-on pre-silicon verification or design experience
  • Experience in building test-benches and debugging simulation failures
  • Experience in scripting with Python/TCL/C/Perl/Unix Shell

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
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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