NVIDIA Corporation

Signoff Methodology Engineer - New College Grad 2026

NVIDIA Corporation$116K — $218K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in Electrical or Computer Engineering or equivalent experience
  • Proven problem-solving abilities
  • Experience with Python programming
  • Background in developing and maintaining automated regression tests
  • Knowledge of VLSI concepts such as CMOS design and timing of synchronous circuits
  • Understanding of fundamental mathematical and physical principles in circuit design
  • Familiarity with clocking specifications like jitter and IR drop

Responsibilities

  • Improve and validate sign-off flows for timing analysis tools specifically for high-speed designs
  • Create custom flows for validating quality of results (QoR) of standard cells and custom IPs
  • Develop strategies to model physical effects like aging and thermal impact during sign-off
  • Collaborate with multiple engineering teams to implement advanced timing sign-off strategies
  • Design tools and methodologies to enhance design performance and silicon reliability
  • Address aspects of static timing analysis (STA), including constraints and power optimization

Benefits

  • Equity options as part of the compensation package
  • Access to a collaborative and innovative work environment
  • Potential for professional growth and development
  • Opportunity to work on cutting-edge technology across various product domains
  • Commitment to diversity and equal opportunity in the workplace
Full Job Description
We are seeking an innovative Timing Methodology Engineer to help drive multi-physics sign-off strategies for the world's leading GPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, illuminating analysis, and automation. This work will influence the entire next generation computing landscape through critical contributions across NVIDIA's many product lines ranging from consumer graphics to self-driving cars and the growing domain of artificial intelligence!

What you will be doing:
  • Improve and validate flows for Prime-Time, Prime-Shield and Tempus STA QoR metrics for sign-off flow, and tool for high-speed designs, with focus on CAD and automation.
  • Develop custom flows for validating QOR of ETM models, both of std cells and custom IPs.
  • Develop flows/recommendations on STA sign-off to model deep submicron physical effects aging, self-heating, thermal impact, IR drop etc.
  • Collaborate with technology leads, VLSI physical design, and timing engineers to define and deploy the most sophisticated strategies of signing off timing in design for world-class silicon performance.
  • Develop tools, and methodologies to improve design performance, predictability, and silicon reliability beyond what industry standard tools can offer.
  • Work on various aspects of STA, constraints, timing and power optimization.


What we need to see:
  • Master's or PhD in Electrical or Computer Engineering (or equivalent experience).
  • Shown problem solving skills.
  • Python programming experience.
  • Experience developing and maintaining automated regression tests.
  • Knowledge of VLSI concepts like CMOS design, clocking, and timing of synchronous circuits.
  • Understanding of mathematics/physics fundamentals of circuit design.
  • Familiarity with Clocking specs: jitter, IR drop, crosstalk, spice analysis.


Ways to stand out from the crowd:
  • Programming experience in Perl and TCL is a plus.
  • Experience collaborating across multiple teams simultaneously.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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