Senior Mixed Signal Design Engineer

Reposted 6 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing high-speed interfaces and analog circuits, defining circuit requirements, schematic design, transistor verification, and post-silicon debugging, focusing on mixed-signal design for NVLINK.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice and join us today!

This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle! We are looking for a senior engineer to be part of the mixed-signal design team building next generation NVLINK. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

What you'll be doing:

  • Develop and implement high speed interfaces and analog circuits. You will have hands on experience taking innovative integrated circuit designs at data rates of 25Gbps and higher from concept through silicon characterization.

  • Help by defining circuit requirements and complete design from schematic, layout, and verification to characterization.

  • Conduct schematic design of deep-submicron CMOS technologies using Spectre, Hspice or like.

  • Take ownership for the architecture, transistor design and verification using industry standard EDA tools such as Cadence virtuoso.

  • Optimize circuit to meet the specifications for system performance.

  • Work closely with layout engineers by providing detailed floorplan and guidance for matching and high-speed routings.

  • Provide support for post-silicon bring-up and debugging.

What we need to see:

  • Master and/or PhD of Science in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience)

  • 2 years analog design experience in industry

  • CMOS Analog / Mixed Signal Circuit Design Experience in deep sub-micron process (especially in FINFET)

  • Experience with design and verification tools (Cadence's IC design environment, analog circuit simulation tools like Spectre, HSpice, Finesim, XA)

  • Experience in crafting test bench environments for component and top level circuit verification

  • Behavioral modeling of analog and digital circuits

  • Strong debugging and analytical skills

  • Analog simulation for noise analysis, loop stability analysis, ac/dc/tran analysis, monte-carlo, etc.

  • Strong interpersonal skills and ability & desire to work as a great teammate are huge plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 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

  • Master and/or PhD in Electrical Engineering or related field with strong analog design background
  • 2 years analog design experience in industry
  • CMOS Analog/Mixed Signal Circuit Design Experience in deep sub-micron process
  • Experience with Cadence's IC design environment and analog simulation tools
  • Experience in crafting test bench environments for verification
  • Strong debugging and analytical skills
  • Strong interpersonal skills and ability to work as a team

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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