Senior STA Signoff Methodology Engineer

Nvidia Corporation in; Santa Clara (CA); On-site; USD 168,000 - 311,000; Full time

Job summary

NVIDIA is seeking a Senior STA Signoff Methodology Engineer to drive sign-off strategies for GPUs, CPUs, LPUs and SoCs, optimizing timing, yield and reliability through advanced modeling and automation. This role supports the next generation AI platforms.

You will work with leads and design teams to define STA/PNR flows, build tools, and improve silicon performance. An MS in Electrical or Computer Engineering with 8+ years ASIC timing is required; strong Python/Tcl skills are a plus.

Qualifications

• MS in Electrical or Computer Engineering or equivalent experience.
• 8+ years of ASIC design and timing experience.
• Solid understanding of RC extraction and STA methodologies.
• Experience with 5 nm/3 nm/2 nm CMOS tech is a plus.
• Strong communication and collaboration skills.

Responsibilities

• Run large-scale SPICE simulations and STA experiments.
• Develop STA and PNR flows addressing aging, self-heating and IR drop.
• Collaborate with leads, physical-design and timing engineers.
• Develop tools to improve design performance and silicon reliability.
• Perform data analysis with Python or JMP to improve STA-to-silicon correlation.

Skills

Strong communication skills

Collaborative working style

Education

MS in Electrical or Computer Engineering

Tools

PrimeTime

ICC2

RedHawk

Tempus

Python

Tcl

Job description

Senior STA Signoff Methodology Engineer (Finance)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking an innovative Senior STA Signoff Methodology Engineer to help drive sign-off strategies for the world's leading GPUs, CPUs, LPUs and SoCs. This position is a broad opportunity to optimize performance, yield, and reliability through increasingly comprehensive modeling, insightful analysis, and automation. This work will influence the entire next generation AI landscape through critical contributions across NVIDIA's many product lines. We have crafted a team of highly motivated people whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. If you are fascinated by the immense scale of precision, craftsmanship, and artistry required to make billions of transistors function on every die at technology nodes as deep as 3nm and beyond, this is an ideal role.

What you’ll be doing:

• Run large-scale SPICE simulations and STA experiments to model the impact of advanced technologies on chip timing.
• Develop STA and PNR flows and recommendations addressing aging, self-heating, thermal effects, IR drop, electro migration, and other advanced-node physical effects.
• Collaborate with technology leads, physical-design engineers, and timing engineers to define and deploy sophisticated timing-signoff strategies for extraordinary silicon performance.
• Develop tools and methodologies that improve design performance, predictability, and silicon reliability beyond the capabilities of standard EDA tools.
• Work across STA, constraints, and timing and power optimization.
• Perform extensive data analysis using Python, JMP, or similar tools to improve STA-to-silicon correlation.

What we need to see:

• MS in Electrical or Computer Engineering, or equivalent experience, with 8 years of experience in ASIC design and timing.
• Solid understanding of RC extraction, device physics, STA methodologies, and EDA-tool limitations.
• Proven foundation in the mathematics and physics underlying electrical design.
• Experience with low-power techniques, including multi-Vt design, clock gating, power gating, activity-based power analysis, DVFS, and CDC.
• Understanding of signal and power integrity, crosstalk, electromigration, noise, OCV, timing margins, clock jitter, and IR drop.
• Understanding of standard-cell, memory, and I/O IP modeling and their use in ASIC flows.
• Hands-on experience with advanced FinFET and emerging CMOS technologies at 5 nm, 3 nm, 2 nm, and beyond.
• Familiarity with industry-standard ASIC tools such as PrimeTime, ICC2, RedHawk, and Tempus.
• Strong communication skills and a collaborative working style.

Ways to stand out from the crowd:

• Familiarity with 3D IC integration, die stacking and packaging, self-heating, and their impact on timing closure.
• Strong data-analysis and modeling skills employing Python, JMP, or similar platforms.
• Proficiency in Tcl and Python; C++ experience is a plus.

NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're an engineer who thinks in systems, takes pride in designing things that last, and wants to see the silicon your work helps produce - we want to hear from you.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 August 24, 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.