Senior Mixed Signal Design Engineer

Reposted 8 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
As a Senior Mixed-Signal Design Engineer, you will work on the design and verification of analog components, streamline workflows, and support silicon bringup and debugging tasks.
Summary Generated by Built In

We are now hiring for a Senior Mixed-signal Design Engineer!

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 to join us today. As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving. Your design will be consumed by standard as well as industry-leading proprietary high-speed protocols, and will serve as one of the key IPs in many complex SoC.

What you'll be doing:

  • Work with analog designers to create accurate systemVerilog model of analog components such as closed-loop PLL, Rx CTLE, SAR ADC and also optics components.

  • You’ll work with system architects, digital designers to define and verify the system architecture specification and refine adaptation algorithms.

  • Help in streamlining workflows with proper scripts to increase efficiency and enables reusability

  • Be actively involve in silicon bringup, build scripts that can be used for debug, QA, characterization and ATE

What we need to see:

  • B.S. or MS degree in Electrical Engineering or equivalent experience

  • 5+ years of experience working in high-speed I/O digital design, knowledge at protocol level (SATA, PCIE, USB) preferred

  • Have a deep understanding of Verilog or SystemVerilog, logic design and circuit modeling for mixed-signal blocks

  • Deep understanding of high-speed Serdes/PLL analog circuit design.

  • Proven experience with custom digital circuit design and adaptation algorithms, such as DFE, CTLE, CDR, and offset cancellation

  • Have a strong background in Perl and Python scripting

  • FPGA emulation experience is a plus

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

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 March 21, 2026.

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.

Top Skills

Fpga
High-Speed Protocols
Pcie
Perl
Python
Sata
Systemverilog
Usb
Verilog
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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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