STA Engineer

Reposted Yesterday
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2 Locations
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
NVIDIA seeks STA Engineers for DFT execution in high-speed communication device design, focusing on static timing analysis and developing innovative solutions.
Summary Generated by Built In

NVIDIA is looking for best-in-class STA (Static Timing analysis) Physical Design Engineers to join our outstanding Networking DFT team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you will be doing:

  • DFT STA execution, from rtl driven constraints and definitions through DFT constraints quality assurance to STA sign-off.
  • Be part of a unique team of experts who have deep understanding in all aspects of pre and post silicon.
  • Be exposed and work on a variety of challenging designs, unique DFT solutions that require deep silicon implementation understanding.
  • Daily work involves all aspects of static timing analysis - constraints, environment, models generation and timing ECO generation for block level and full chip level.
  • Taking part in flows development.

What we need to see:

  • B.SC. in Electrical Engineering/Computer Engineering.
  • 2-3 years of experience as STA engineer.
  • Ability to quickly adapt to new technology and go deep into new areas
  • Strong communication skills
  • Great teammate.
  • Drive new solutions based on any issues that arise

Ways to Stand Out From the Crowd:

  • Knowledge in physical design flows and methodologies (PNR, STA, physical verification).
  • Knowledge in DFT flows such as ATPG, Mbist, Ijtag.
  • Prior experience in DFT timing closures.
  • Knowledge in CDC.
  • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.).

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/Computer Engineering
  • 2-3 years of experience as STA engineer
  • Knowledge in physical design flows and methodologies
  • Knowledge in DFT flows such as ATPG, Mbist, Ijtag
  • Prior experience in DFT timing closures
  • Knowledge in CDC
  • Familiarity with physical design EDA tools

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.

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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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