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.
You will be responsible for the development and implementation of high speed interfaces, including TX/RX/Clocking/PLL. You will have hands on experience taking innovative integrated circuit designs at data rates of 50Gbps and higher from concept through silicon characterization.
What you will be doing:
Define 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 responsibility 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 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 of Science or foreign equivalent degree in Electrical Engineering, Computer Engineering or related field with strong analog design background.
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 communication skills and ability & desire to work as a great teammate are huge plus.
Skills Required
- Master of Science in Electrical Engineering, Computer Engineering, or related field (or foreign equivalent) with strong analog design background.
- 5+ years analog design experience in industry.
- CMOS analog/mixed-signal circuit design experience in deep-submicron processes, especially FINFET.
- Experience with Cadence IC design environment (Cadence Virtuoso).
- Experience with analog circuit simulation tools (Spectre, HSpice, Finesim, XA).
- Hands-on experience taking high-speed interface designs (50Gbps+) from concept through silicon characterization.
- Experience creating testbench environments and behavioral modeling for component and top-level verification.
- Strong debugging and analytical skills; analog simulation for noise, loop stability, AC/DC/transient analysis, Monte-Carlo.
- Strong communication skills and ability/desire 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.
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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.
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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.
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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
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.”
