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60 Nvidia Signal Integrity Engineer Jobs Hiring Near You

Nvidia

OR · Hybrid

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are ... Solid understanding of high-speed design signal integrity practices * Experience with Virtuoso and ...

Nvidia

PCB Design Layout Engineer

Santa Clara, CA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... You should have an understanding of High-Density Interconnect PCB layout and PCB Signal Integrity.

Nvidia

OR · Hybrid

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are ... Solid understanding of high-speed design signal integrity practices * Experience with Virtuoso and ...

Nvidia

System Level Test Engineer

Santa Clara, CA

As a member of our system level test (SLT) test engineering (TE) group, qualified applicants will ... signal integrity. With highly competitive salaries and a comprehensive benefits package, NVIDIA is ...

Nvidia Corporation

HSIO Validation Lead

Santa Clara, CA · On-site

... NVIDIA GPUs, CPUs, and SOCs. * Drive schedule, programming guides, customer critical issues ... Excellent knowledge of Signal integrity concepts, Silicon characteristics, and high-speed/SERDES ...

Nvidia

Systems Validation Engineer

Santa Clara, CA

... signal integrity, component-level problems, and firmware behavior. * Lab experience with board ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

Nvidia

Senior Characterization Engineer

Santa Clara, CA

$122.70K - $168.50K/yr

Experience in high-speed IO testing, test hardware design and signal integrity. * Lab Equipment ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

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What are the key skills and qualifications needed to thrive as a Signal Integrity Engineer, and why are they important?

To thrive as a Signal Integrity Engineer, you need a deep understanding of electrical engineering principles, high-speed circuit design, and electromagnetic compatibility, typically supported by a relevant engineering degree. Familiarity with simulation tools such as HyperLynx, HFSS, and SPICE, as well as PCB layout software and signal measurement instruments, is essential. Strong analytical thinking, problem-solving skills, and effective communication enable collaboration with multidisciplinary teams and interpretation of complex data. These skills are crucial to ensuring reliable, high-performance electronic systems and preventing costly design errors.

What are some common challenges Signal Integrity Engineers face when working on high-speed PCB designs?

Signal Integrity Engineers often encounter challenges such as minimizing crosstalk, managing electromagnetic interference (EMI), and ensuring signal quality over long trace lengths or high-frequency applications. They must collaborate closely with hardware designers, PCB layout engineers, and test teams to address these issues early in the design process. Staying updated with evolving standards and simulation tools is essential, as is troubleshooting problems that arise during prototyping and validation phases.

What does a Signal Integrity Engineer do?

A Signal Integrity Engineer is responsible for ensuring that electrical signals in high-speed circuits and systems maintain their quality and integrity as they travel through various components and interconnections. They analyze and address issues like signal loss, noise, crosstalk, and timing errors that can degrade performance in electronic devices, such as computer motherboards, communication systems, and data centers. Their work involves simulation, measurement, and troubleshooting to optimize designs and ensure reliable operation of complex electronic systems.

What is the difference between Signal Integrity Engineer vs RF Engineer?

AspectSignal Integrity EngineerRF Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, certifications like IEEEBachelor's or Master's in Electrical Engineering, RF-specific certifications
Work EnvironmentDesign labs, simulation software, PCB testingTesting labs, antenna design, RF measurement equipment
Industry UsageHigh-speed digital design, PCB layout, signal analysisWireless, telecommunications, radar systems

While both roles require electrical engineering knowledge, Signal Integrity Engineers focus on maintaining signal quality in digital systems, whereas RF Engineers specialize in radio frequency systems and wireless communication. The roles often overlap in industries like telecommunications and electronics, but their core responsibilities and tools differ.

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
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Infographic showing various Signal Integrity Engineer job openings at Nvidia in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
Senior Hardware Systems Engineer - LPU Platform Pathfinding

Senior Hardware Systems Engineer - LPU Platform Pathfinding

Nvidia

Santa Clara, CA

$129.80K - $173.20K/yr

Full-time

Posted 15 days ago

Job description

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. Are you ready to push the boundaries of innovation and engineering? At NVIDIA, we lead the world in accelerated computing-driving progress in AI, graphics, and highperformance systems.

As a Senior Hardware Systems Engineer, you will help build nextgeneration LPU (Language Processing Unit) platforms that support the most demanding AI workloads. You'll work with teams across the company to shape system architecture, solve complex challenges, and strengthen the hardware foundation for largescale AI. We are committed to an inclusive, collaborative environment where people grow, contribute, and make an impact every day!

What You Will Be Doing:

  • Drive hardware pathfinding for LPU platforms by leading early investigations into new architectures for power delivery, cooling, mechanical design, and highbandwidth interconnects.

  • Guide systemlevel technical decisions that influence NVIDIA's LPU roadmap.

  • Work with silicon, architecture, data center, cloud, product, and manufacturing teams to deliver complete, productionready systems.

  • Lead fullstack system debug, addressing electrical, mechanical, thermal, firmware, OS, and application behaviors.

  • Support program execution, tracking issues, driving rootcause analysis, and ensuring timely resolution.

  • Own interconnect and cooling architecture, including optical links, backplanes, power distribution, and clusterlevel cooling systems.

What We Need to See:

  • Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or related field (or equivalent experience).

  • 8+ years of proven experience leading platform, system, or hardware engineering efforts from concept through delivery.

  • Broad system knowledge in electrical/power design, mechanical/thermal engineering, firmware integration, and performance tuning.

  • Experience in pathfinding, evaluating early designs and maturing them into real solutions.

  • Strong debugging and problemsolving skills across hardware and software boundaries.

  • Clear communication and the ability to align diverse engineering groups.

  • Exposure to largescale AI platforms such as LPU, GPU, TPU, or custom accelerators.

Ways to Stand Out from the Crowd:

  • Direct experience designing or validating LPU, GPU, or other accelerator systems, especially at rack or cluster scale.

  • Ownership of firstofkind system designs, such as new power networks, liquid cooling, or optical interconnects.

  • Leadership in pathfinding or advanced development programs that shaped product direction.

  • Familiarity with hyperscale data center infrastructure, including cooling methods, facility power, and interconnect fabrics.

  • Strength in early bringup, diagnostics, signal integrity, and rapid prototyping as well as participation in industry standards efforts or crosscompany technical initiatives.

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 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 24, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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