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 take on, 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 diverse team working with innovative, ground breaking technology. If you are someone that loves a challenge, come join this complementary team and help move the needle! As a member of our Mixed Signal team, you will lead the design of CMOS high-speed interface circuits and mixed-signal circuits. Strong hands-on experience in the lab with silicon validation, debugging, characterization and bring up.
What you'll be doing:
Lead design and implementation of high speed interface circuit
Design projects include high speed transceivers and high frequency PLLs
Design, simulation, and verification of mixed-signal circuits
Supervise closely IC circuit/mask designers, provide floorplan and layout guidelines
Support lab characterization of silicon
Tackle challenges of circuit design in deep submicron CMOS
Take designs through implementation and productization
Work with multi-functional teams
What we need to see:
MS in Electrical Engineering or equivalent experience
4+ years of design experience in CMOS analog / mixed-signal circuit Design
Solid understanding of Cadence custom design tools, circuit simulator, timing analysis tool
A great teammate with good interpersonal skills
Proven experience in crafting and mentoring designers
Extensive experience in Tx, Rx, CDR, PLL for high speed IO interfaces
In-depth understanding of deep submicron CMOS process and related circuit design issues
Experience in silicon bring-up, debugging and use of lab instrumentation is required
Knowledge in system level timing budget, signal integrity, and power integrity is a plus
Experience in Verilog, Matlab, Primetime, Nanotime
You will also be eligible for equity and benefits.
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 in Electrical Engineering or equivalent experience
- 4+ years of design experience in CMOS analog/mixed-signal circuit design
- Strong understanding of Cadence custom design tools
- Experience in silicon bring-up, debugging, and lab instrumentation
- Extensive experience in Tx, Rx, CDR, PLL for high speed IO interfaces
- In-depth understanding of deep submicron CMOS process
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.”
