Senior Mixed Signal Design Engineer

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
165K-265K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and develop high-speed mixed-signal interfaces and analog circuits for next-generation NVLINK products. Responsibilities include circuit architecture, transistor-level schematic design, layout guidance, verification, simulation, optimization, silicon characterization, and post-silicon debugging. The role requires deep-submicron CMOS and FinFET experience, analog simulation expertise, behavioral modeling, testbench development, and collaboration with layout and engineering teams.
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:

  • Hold a Master of Science in Electrical Engineering, Computer Engineering or related field with strong analog design background (or equivalent experience)
  • You should have a minimum of 5 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 other objective job-related factors. The expected base salary ranges for this position are:
165,000 CAD – 215,000 CAD for Level 4; and 215,000 CAD – 265,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

Skills Required

  • Master of Science in Electrical Engineering, Computer Engineering, or a related field, or equivalent experience
  • At least 5 years of industry analog design experience
  • CMOS analog or mixed-signal circuit design experience in deep-submicron processes, especially FinFET
  • Experience with Cadence IC design environment and analog simulation tools such as Spectre, HSPICE, FineSim, or XA
  • Experience creating testbench environments for component-level and top-level circuit verification
  • Experience with behavioral modeling of analog and digital circuits
  • Strong debugging and analytical skills
  • Experience with analog simulations including noise, loop stability, AC, DC, transient, and Monte Carlo analysis
  • Strong interpersonal and teamwork skills

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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