STA Engineer

Reposted 6 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The STA Engineer will handle full-chip STA convergence, optimize design flows, and work with teams to integrate timing for efficiency.
Summary Generated by Built In

NVIDIA is looking for a best-in-class STA 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 part in designing our groundbreaking large scale 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:

  • Be in charge of full-chip/Chiplet level STA convergence from early stages to signoff.

  • Take part in floor plan design and Netlist creation with aim to optimize timing convergence and work efficiency.

  • Define and optimize, together with CAD, STA signoff flows and methodologies.

  • Digital Partitions' and analog IPs' timing integration, giving feedback and driving convergence.

  • Work closely with logic design and DFT engineers to define and implement constraints for the various work modes, including optimizing them for runtime and efficiency.

What we need to see:

  • B.SC./ M.SC. in Electrical Engineering/Computer Engineering.

  • 2+ years of experience in physical design and STA

  • Proven experience in RTL2GDS and STA flows and methodologies.

  • Familiarity with physical design EDA tools (such as Synopsys, Cadence, etc.) and timing signoff (Primetime).

  • Great teammate.

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!

Top Skills

Cadence
Eda Tools
Primetime
Synopsys
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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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