Senior Mixed Signal Design Engineer

Reposted 17 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design mixed-signal and analog circuits for high-speed DRAM I/O. Work through productization and collaborate with multifunctional teams.
Summary Generated by Built In

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.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are looking for a Senior Mixed-Signal/Analog/IO Circuit Develop Engineer – someone who is excited to join a rapidly growing team of creative circuit develop engineers pushing frontiers of the high-speed DRAM SerDes solutions.

What you'll be doing:

  • Mixed-Signal/Analog circuit design for High-Speed Memory I/O Interfaces

  • Solve challenges of circuit designs in the latest CMOS FinFET processes

  • Take designs through productization and be actively involved in all stages of development

  • Work with multi-functional teams to optimize the design

  • Contribute to the architecture definition and development of next-generation and future memory systems and interfaces

What we need to see:

  • MS/PhD in Electrical Engineering or equivalent experience

  • The candidate has 4+ years of well-rounded high-Speed DRAM (LPDDR5/6, DDR4/5, GDDR5/6/7, HBM3/4) or other SerDes interface related design experience.

  • In-depth understanding of deep submicron CMOS FinFET process and related circuit design issues

  • Familiarity with device reliability, ESD, and Latch-Up requirements

  • Possess an understanding of system-level timing budgets, specs, and analysis

  • Solid Understanding of the package substrate, board develop, and power delivery is a plus.

  • Strong background of Cadence custom develop tools, various circuit simulators like Hspice, XA, FineSim, Spectre

  • Knowledge of Verilog, Nanotime, Matlab, or similar tools is a plus

  • Hands-on experience of silicon debug with Lab test and measurement equipment is a plus

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 March 8, 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.

Skills Required

  • MS/PhD in Electrical Engineering or equivalent
  • 4+ years high-speed DRAM or SerDes interface design experience
  • In-depth understanding of deep submicron CMOS FinFET process
  • Familiarity with device reliability, ESD, and Latch-Up requirements
  • Understanding of system-level timing budgets and analysis
  • Solid Understanding of package substrate and power delivery is a plus
  • Strong background of Cadence tools and circuit simulators
  • Knowledge of Verilog, Nanotime, Matlab, or similar tools is a plus
  • Hands-on experience of silicon debug with Lab test and measurement equipment is a plus

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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, NVIDIA is increasingly known as “the AI computing company.”

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