NVIDIA Corporation

Senior Speed and Reliability Codesign Engineer

NVIDIA Corporation$168K — $310K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 10+ years in silicon design, performance, timing, or post-silicon speed validation.
  • Proven experience taking features from concept to silicon validation with measurable outcomes.
  • Depth in design and data fluency to correlate against real silicon results.
  • Cross-functional influence with ability to align diverse teams without direct authority.
  • Strong problem-solving and interpersonal skills.

Responsibilities

  • Build speed and reliability features using on-chip building blocks.
  • Manage design-to-silicon correlation and feed insights back to design.
  • Verify codesign features across various conditions before tapeout.
  • Leverage AI to enhance efficiency in correlation and verification processes.
  • Facilitate decision-making around feature trade-offs concerning power, yield, and area.
  • Collaborate with different teams to bring next-gen products to market.

Benefits

  • Hybrid work model with flexibility in location.
  • Potential eligibility for equity.
  • Comprehensive health and wellness benefits.
Full Job Description
We are the Silicon Co-Design Group. We are hiring a Senior Speed and Reliability Codesign Engineer to build speed and reliability features into the silicon and to prove, against real silicon, that they deliver. We own the codesign space where architecture, design, and manufacturing meet, and we make the whole system perform. If this sounds like something you want to do, read on!

What you'll be doing:
  • Build out speed and reliability features from on-chip building blocks - on-die clocking, droop detection, and aging monitors - that protect frequency and lifetime without spending extra power or margin.
  • Own design-to-silicon correlation. Tie pre-silicon predictions - VF curve, Vmin and Vmax, timing and aging margins - to measured silicon, and feed the gaps back to design.
  • Verify the codesign. Prove each feature holds across voltage, temperature, process, and aging corners before tapeout - verification is part of how we design, not a later step.
  • Use AI as a force multiplier. Build AI-driven flows for correlation, data analysis, and verification that compress cycle time and catch issues earlier.
  • Drive decisions across the silicon-to-system boundary. Surface where a feature trades frequency or lifetime against power, yield, or area, and bring the data that settles the call.
  • Collaborate with architecture, VLSI, ASIC, firmware, and product teams to bring next-generation products to market.


What we need to see:
  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
  • 10+ years in silicon design, performance, timing, or post-silicon speed validation, with hands-on depth in both timing and real silicon.
  • A track record of taking features from concept through silicon validation, with measured results.
  • Comfortable working both sides of the boundary - enough design depth to build, and enough data fluency to correlate against silicon. Familiarity with silicon margining and guard-banding is essential.
  • Cross-functional influence, with a demonstrated ability to align architecture, design, and manufacturing without direct reporting authority.
  • Excellent problem solving, partnership, and interpersonal skills.


Ways to stand out from the crowd:
  • Closed the loop between predictions and silicon results, with a correlation methodology other teams adopted
  • Designed or integrated on-die sensors/actuators (droop detectors, aging monitors, adaptive clocking, telemetry)
  • Datacenter-scale or high-performance silicon experience
  • Applied ML or data-driven techniques to silicon performance, reliability modeling, or design-space exploration
  • Patents, publications, or standards contributions in silicon performance or reliability


#LI-Hybrid

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 July 11, 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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