Senior Circuit Timing Engineer

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office or Remote
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and sign off timing for custom digital, semi-custom, and analog mixed-signal circuit macros in deep submicron processor technologies. Responsibilities include transistor-level circuit design, STA, SPICE simulation, timing modeling, power and reliability analysis, timing constraints, ECOs, and timing closure. Collaborate across physical design, clocks, DFT, and other teams while contributing to hardware security, adaptive clocking, power management, and AI/ML-enabled design methodologies through tape-out and validation.
Summary Generated by Built In

We are now looking for a Senior Circuit Timing Engineer!


NVIDIA stands at the intersection of hardware excellence and AI breakthrough, where every line of code and every chip design ripples across industries worldwide. We've built the computational backbone for autonomous systems, revolutionized data center architecture, and created the silicon that powers the AI revolution. Our resilience through decades of technological shifts has forged a unique engineering culture—one where ambitious projects meet exceptional talent. From deep learning frameworks to cutting-edge robotics, we're not just participants in the fourth industrial revolution; we're its architects. Discover how your engineering vision can reshape the world alongside ours.


What you'll be doing:

  • Participate in ground breaking processor design in deep submicron technologies.
  • Work as part of a global circuits team to design innovative circuits for hardware security, adaptive clocking, and power management solutions.
  • Drive timing analysis and signoff of custom circuit macros (digital, semi-custom and analog mixed-signal).
  • Validate timing of custom circuit designs using STA tools including Nanotime, PrimeTime, Tempus and various SPICE simulation tools.
  • Collaborate with cross-functional teams to improve the power, performance, area and reliability of NVIDIA's next generation products through custom circuit solutions and detailed transistor-level analysis.
  • Develop timing models and methodology for innovative and unique custom macro designs.
  • Transistor-level circuit design and timing, schematic entry, and layout delivery.
  • Integrate AI/ML techniques directly into the design process and methodology.
  • Work with PD, DFX, Clocks, and other teams on timing signoff strategy, timing constraints, timing and power convergence, DFT, as well as timing ECO implementation.

What we need to see:

  • BSEE/MS preferred in Electrical, Computer Engineering or equivalent experience.
  • 6+ years of digital circuit design experience for Masters and 8+ years for Bachelors.
  • Excellent understanding of deep submicron process issues and digital circuit design techniques is required.
  • Expertise and in-depth knowledge of industry standard STA tools such as Nanotime, Primetime, Tempus, and other timing analysis tools.
  • Hands on experience running Spice simulations, EM/IR analysis, and static timing analysis/closure is required.
  • Proven experience in timing constraints generation and management.
  • Hands on experience in design and analysis of low power circuits (power gating, decaps, multi-vt, etc..) is a plus.
  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and glitch noise.
  • Solid understanding of extracted timing models and the usage of .libs in Primetime.
  • Knowledge of process variation effect modeling and experience in design convergence in multi GHz deep submicron technology.

Ways to stand out from the crowd:

  • Proven ownership and hands-on experience across the entire silicon design flow, from micro-architecture and RTL design to back-end execution, including Custom/Semi-Custom Circuit Design, Synthesis, Auto Place and Route, STA, and PVerf.
  • Proven capability in Post-Silicon characterization and debug, ensuring designs meet performance targets in hardware.
  • Track record of independently driving and delivering complex features from conception through tape-out and validation.
  • Knowledge of timing closure strategies for digital logic/macros part of AMS designs/IPs.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • BSEE, MS in Electrical or Computer Engineering, or equivalent experience
  • 6+ years of digital circuit design experience with a master's degree, or 8+ years with a bachelor's degree
  • Understanding of deep submicron process issues and digital circuit design techniques
  • Expertise with industry-standard static timing analysis tools including Nanotime, PrimeTime, and Tempus
  • Hands-on experience with SPICE simulations, EM/IR analysis, and static timing analysis and closure
  • Experience generating and managing timing constraints
  • Hands-on experience designing and analyzing low-power circuits, including power gating, decaps, and multi-Vt
  • Expertise analyzing and fixing timing paths through ECOs, including crosstalk and glitch noise
  • Understanding of extracted timing models and .lib usage in PrimeTime
  • Knowledge of process variation effect modeling and design convergence in multi-GHz deep submicron technology
  • Experience across the silicon design flow from microarchitecture and RTL through backend execution, custom or semi-custom circuit design, synthesis, auto place and route, STA, and PVerf
  • Post-silicon characterization and hardware debug experience
  • Ability to independently deliver complex features from conception through tape-out and validation
  • Knowledge of timing closure strategies for digital logic and macros in AMS designs or IPs

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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