NVIDIA Logo

NVIDIA

Manager, Digital Design - Mixed-Signal High-Speed I/O SerDes

Posted 8 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA, USA
196K-311K Annually
Expert/Leader
In-Office
Santa Clara, CA, USA
196K-311K Annually
Expert/Leader
Leads and mentors engineers developing mixed-signal high-speed SerDes and I/O chip designs. Oversees algorithm specification, PPA trade-offs, RTL and digital circuit design, verification, front-end design flows, tape-outs, silicon bring-up, performance optimization, and technology roadmaps. Requires deep expertise in mixed-signal digital design, SerDes protocols, verification methodologies, timing analysis, and technical leadership.
The summary above was generated by AI

Are you looking for a Digital Design Manager role? As a Senior Digital Design Manager in our Mixed-Signal High-Speed I/O SerDes group, you'll lead a team working on NVIDIA's latest groundbreaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving. Your team's designs will be consumed by standard as well as industry-leading proprietary high-speed protocols, serving as key IPs in sophisticated SoCs. You'll collaborate closely with analog designers, system architects, and other engineering teams to drive innovation and deliver high-performance solutions.

What you'll be doing:

  • Lead and mentor a team of engineers in developing mixed-signal chips

  • Supervise the planning and specification of algorithms, evaluating PPA (Power, Performance, Area) trade-offs

  • Guide the design of digital circuits such as filters and analog calibration circuits

  • Ensure verification of digital designs using direct and random testing methodologies

  • Lead front-end design flows (Lint/CDC/Synthesis/DFT/LEC/STA) and coordinate with back-end teams for successful chip tape-outs

  • Drive silicon bring-up efforts and performance optimization

  • Collaborate with multi-functional teams to align technology roadmaps with business objectives

  • Establish and maintain standard methodologies for mixed-signal design and verification

What we need to see:

  • M.S. or Ph.D. in Electrical Engineering or equivalent experience and over 8 years of overall experience in mixed signal

  • Proven experience in mixed-signal chip design, with 3+ years in a leadership role

  • Expertise in Verilog or SystemVerilog, logic design, and circuit modeling in RTL for mixed-signal blocks

  • Strong background in custom digital circuit design and adaptation algorithms (FFE, DFE, CTLE, CDR, offset cancellation), understanding of high-speed SerDes I/O digital design, with knowledge of protocols like Ethernet and PCIe

  • Experience with industry-standard verification methodologies, such as UVM

  • Proficiency with static timing and formal verification tools

  • Excellent communication and leadership skills, with the ability to drive technical strategy

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!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 196,000 USD – 310,500 USD.

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.

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.

HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

NVIDIA San Francisco, California, USA Office

San Francisco, United States

NVIDIA San Jose, California, USA Office

San Jose, United States

Similar Jobs

4 Hours Ago
Remote or Hybrid
United States
17-25 Hourly
Junior
17-25 Hourly
Junior
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Provides remote technical customer support for Xtime and Cox Automotive products through phone, email, and chat. Resolves routine product and application issues, documents cases in CRM systems, trains and coaches customers, coordinates with internal teams, and follows up through resolution while meeting quality standards.
Top Skills: Cox Automotive SuiteCRMGenesys PurecloudSalesforceXtime
4 Hours Ago
In-Office or Remote
94104, San Francisco, CA, USA
141K-222K Annually
Expert/Leader
141K-222K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads complex, cross-functional transformation portfolios across Product, GTM, Strategy, and Operations. Owns program outcomes, operating models, governance, prioritization, dependencies, risks, metrics, and executive communications. Establishes planning frameworks, manages multi-quarter initiatives, aligns stakeholders, and drives measurable business outcomes through structured problem-solving and portfolio execution.
Top Skills: Atlassian
4 Hours Ago
In-Office or Remote
94104, San Francisco, CA, USA
171K-269K Annually
Senior level
171K-269K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and scale machine learning algorithms, models, infrastructure, and data pipelines supporting AI features across Atlassian products. Responsibilities include designing model and system architectures, conducting experimentation and evaluations, collaborating with product, engineering, and analytics teams, building production-quality solutions using large datasets, and mentoring junior ML engineers.
Top Skills: SparkAWSDatabricksDeep LearningJavaLarge Language Models (Llms)Machine LearningPythonSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account