Physical Design Backend STA Engineer

Reposted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The engineer will perform advanced Static Timing Analysis, running Prime Time, debug timing paths, and ensure convergence during various project stages.
Summary Generated by Built In

NVIDIA is looking for outstanding STA (Static Timing Analysis) Physical Design Engineers to join our remarkable Networking team in Israel. Our team focuses on building the industry's top high-speed communication devices, providing the highest efficiency and minimal latency. As part of NVIDIA, you'll be working in a meaningful, growing, and highly professional environment where your contributions make a significant impact. If you are ambitious, innovative, and ready to compete on the cutting edge of technology, this is the perfect opportunity for you!

What you'll be doing:

  • Perform advanced Static Timing Analysis (STA) at a chiplet and FC level.

  • Running Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.

  • Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages.

  • Responsible for a full timing closer and quality approval from pre-layout STA model through signoff.

What we need to see:

  • B.Sc. in Electrical Engineering or Computer Engineering.

  • 2-3 years of experience as an STA engineer.

  • Strong ability to quickly adapt to new technology and delve deeply into new areas.

  • Excellent communication skills and a proven ability to work effectively in a team environment.

  • Demonstrated drive to develop and implement new solutions.

Ways to Stand Out From the Crowd:

  • Knowledge in physical build flows and methodologies (PNR, STA, physical verification).

  • Familiarity with Prime Time tool

NVIDIA has some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!

Skills Required

  • B.Sc. in Electrical Engineering or Computer Engineering
  • 2-3 years of experience as an STA engineer
  • Strong ability to quickly adapt to new technology
  • Excellent communication skills and ability to work effectively in a team
  • Demonstrated drive to develop and implement new solutions

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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