Mixed Signal Design Validation Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 116,000 - 219,000; Full time

Job summary

NVIDIA in Santa Clara, CA, seeks a mixed-signal design validation engineer to own bring-up and characterization of high-speed circuits and to validate analog, digital, and mixed-signal blocks. You will write tests, analyze lab data, and drive improvements with cross-functional teams.

The ideal candidate contributes to silicon performance feedback, mentors new engineers, and collaborates across groups. Base salary ranges 116,000–189,750 USD (Level 2) and 136,000–218,500 USD (Level 3), with equity

Qualifications

• BS degree in Electrical/Computer Engineering or related field, 2+ years experience.
• Collaborative and interpersonal skills essential.
• Adaptable to time-sensitive, critical issues.
• Experience in silicon bring-up, debugging, and lab instrumentation required.
• Ability to work in a fast-paced environment with multiple bring-ups.
• Deep knowledge of analog, digital, and mixed-signal circuits.
• Ability to write scripts for validation, debugging, data analysis, and automation.
• Proficiency in Python, Git, MATLAB, and JMP.

Responsibilities

• Build validation test suites for high-speed I/Os and analog circuits.
• Characterize analog, digital, and mixed-signal blocks across process, voltage, and temperature.
• Lead debugging of challenging issues and devise creative solutions.
• Provide feedback to designers regarding silicon performance and margins.
• Build and run tests and scripts to optimize system performance.
• Lead cross-functional discussions to optimize mixed-signal circuit performance.
• Develop tools to support electrical characterization and chip bring-up.
• Train new engineers in validation practices.

Skills

Python

Lab instrumentation

Data analysis

Script automation

Analog design

Team collaboration

JMP

Education

B.S. in Electrical/Computer Engineering or related field

Tools

MATLAB

Git

JMP

LabVIEW

Job description

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, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement.

As a member of our Mixed Signal Design Validation team, you will be responsible for the bring-up and characterization of high-speed mixed-signal circuits, in addition to performing system validation of electro-optical transceivers. The ideal candidate will take full ownership of developing and implementing tests, debugging unexpected bugs, and generating meaningful analysis from lab data of high-speed interfaces and modules.

What you'll be doing:

• Build validation test suites for high-speed I/Os and the analog circuits
• Conduct detailed characterization of analog, digital, and mixed-signal circuit blocks across process, voltage, and temperature variations, and correlate the data with simulations
• Lead and drive the debugging of technically challenging issues by devising creative solutions to sophisticated problems
• Provide feedback to analog circuit designers regarding silicon performance, design quality, and margins
• Build and run test scripts to optimize overall system performance
• Lead focused discussions with cross-functional teams both within and outside the company to optimize the performance of mixed-signal circuits
• Develop tools and scripts to support electrical characterization and chip bring-up activities
• Take ownership for training new engineers in validation practices

What we need to see:

• A BS degree or equivalent experience with 2 years experience or higher in Electrical Engineering, Computer Engineering, or a related field.
• Strong collaborative and interpersonal skills are essential
• Highly adaptable to time-sensitive, critical issues
• Experience in silicon bring-up, debugging, and the use of lab instrumentation is required
• Ability to work in a fast paced environment involved with multiple bring-ups of chips and systems
• In-depth technical knowledge of fundamental analog, digital, and mixed-signal circuits
• Ability to write scripts for validation, debugging, data analysis, and automation
• Proficiency in Python, Git, MATLAB, and JMP

Ways to stand out from the crowd:

• Comprehensive understanding of multi-protocol SerDes architecture
• In-depth understanding of measurement theory and test instruments
• Knowledge of optical transceiver performance is a plus

NVIDIA is renowned as the leader in AI computing and one of the world’s most innovative and desirable employers. MSDV team consists of individuals who demonstrate outstanding creativity and critical thinking skills, driving innovation forward. If you're passionate, creative, and eager to work on the cutting edge of technology, this is the perfect team for you.

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 October 3, 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.