Senior Mixed Signal Design Engineer

Reposted 24 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 and implement high-speed SerDes (80Gbps+) from transistor-level architecture through layout, verification, and silicon characterization. Optimize circuits for noise, power, and loop stability in FinFET/deep-submicron CMOS nodes. Collaborate with layout on floorplanning and high-speed routing. Lead post-silicon bring-up, debugging, modeling, and top-level verification of analog and digital blocks.
Summary Generated by Built In

Are you ready to take innovation further? At NVIDIA, we don’t just follow the industry; we define the next generation of connectivity. We seek a visionary Analog/Mixed-Signal Engineer to build and implement high-speed Serdes reaching 80Gbps and beyond. If you enjoy working with deep-submicron CMOS and excel in FinFET technology’s complexities and want to see your work evolve from a blank schematic to high-performance silicon, this is your opportunity. Join us and be part of a company transforming computer graphics, PC gaming, and accelerated computing!

What you'll be doing:

Architect the Future: Take full ownership of high-speed Serdes architectures and transistor-level builds, pushing data rates to 80Gbps and higher. 

  • Silicon Ownership: Drive the entire lifecycle—from initial concept and schematic entry to layout, verification, and final silicon characterization.

  • Master the Physics: Optimize complex circuits for peak system performance, balancing noise, power, and loop stability in deep-submicron nodes.

  • Collaborative Precision: Partner closely with layout engineers to provide strategic floorplanning and high-speed routing mentorship that ensures design integrity.

  • Solve the Impossible: Lead post-silicon bring-up and debugging efforts, translating real-world data into build refinements.

What we need to see:

  • MS in Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience in the industry.

  • Minimum 5 plus years of professional Analog Build experience, with a deep portfolio in FinFET and deep-submicron CMOS processes.

  • The Toolkit: Proficiency in the Cadence Virtuoso environment and a "black belt" in simulation tools (Spectre, HSpice, FineSim, or XA).

  • Analytical Rigor: Expertise in noise analysis, Monte Carlo simulations, and complex loop stability. Rich experience in high-speed data and/or clock path design.

  • Modeling Mastery: Proven ability in the modeling, timing, and functionality of both analog and digital circuits to streamline top-level verification.

  • The X-Factor: You go beyond working in a silo. You are a collaborative teammate who communicates clearly and solves problems with a "find a way" mentality.

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 6, 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.

Skills Required

  • MS in Electrical Engineering, Computer Engineering, or related field, or equivalent practical experience
  • Minimum 5+ years professional analog build experience with FinFET and deep-submicron CMOS processes
  • Proficiency in Cadence Virtuoso environment
  • Expertise with simulation tools (Spectre, HSpice, FineSim, or XA)
  • Expertise in noise analysis, Monte Carlo simulations, and complex loop stability
  • Rich experience in high-speed data and/or clock path design
  • Proven ability in modeling, timing, and functionality of analog and digital circuits for top-level verification
  • Experience owning full silicon lifecycle: schematic entry, layout, verification, and post-silicon characterization/bring-up
  • Collaborative communication and problem-solving aptitude

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.

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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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