NVIDIA Logo

NVIDIA

Lead User Experience Researcher - IT and Employee Productivity

Posted 3 Hours Ago
Be an Early Applicant
Hybrid
Santa Clara, CA, USA
208K-380K Annually
Expert/Leader
Hybrid
Santa Clara, CA, USA
208K-380K Annually
Expert/Leader
Leads NVIDIA’s strategic UX research program for internal IT and employee productivity products. Conducts mixed-methods research using interviews, contextual inquiry, diary studies, surveys, support data, and product analytics. Establishes research standards, participant and insights infrastructure, and adoption metrics; translates findings into product and investment decisions; and coaches product managers and designers. Focus areas include AI tool adoption, workplace technology, employee experience, and knowledge-worker productivity.
The summary above was generated by AI

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we're tapping into the unlimited potential of AI to define the next era of computing. NVIDIA IT builds the products NVIDIANs use to get work done every day: the company intranet and mobile app, IT help and self-service, an AI personal assistant, and secure workspaces where employees run their own AI agents. We're hiring our first user experience researcher to answer a question that matters more every quarter: what makes people productive at NVIDIA, and what should we build, buy, or change so more people can work that way?


This is a senior, independent role with a long horizon. Our users are our colleagues, so access is never the bottleneck. You start with rich data: an annual IT survey with thousands of written comments from employees in 36 countries, support tickets, and product analytics. You'll set the research agenda, run the studies that matter most, and raise the research bar for the product managers and designers you work with.


What you'll be doing:

  • Own a multi-quarter research program on how NVIDIANs work: what separates people who have adopted new ways of working, including AI tools, from those who haven't, and which tools, built or bought, would help the rest.
  • Shape our core products. Find the fundamental changes that would make our intranet, IT help, and AI assistant more useful, starting from questions like "what does a typical work day at NVIDIA look like?"
  • Pair field research (contextual inquiry, interviews, diary studies) with survey, support, and analytics data. Use AI to scale analysis without trading away validity.
  • Bring rigor. Choose methods that hold up (reliability, validity, sampling), and help the team distinguish between decisions that benefit from research vs. decisions that can just be made.
  • Raise the team's research craft. Coach PMs and designers on study design, interview guides, and live interviewing, and partner with designers on usability work
  • Build the practice from zero: a participant panel, consent and confidentiality standards for research with colleagues (with HR and Legal), and an insights repository so research compounds instead of repeating.
  • Turn findings into decisions. Present clear recommendations to IT leadership, define experience and adoption metrics with PMs, and follow through until insights shape roadmaps, not just fixes.

What we need to see:

  • 12+ years in UX research or a closely related field, including leading strategic, multi-quarter research programs.
  • Master's or PhD in Human-Computer Interaction, Psychology, Cognitive Science, Anthropology, Sociology, or a related field, or equivalent experience.
  • Deep mixed-methods expertise: generative field research, survey design and analysis (including open text), and analysis of behavioral data.
  • A portfolio or case studies showing research that changed strategy, roadmap, or investment decisions, not only feature details.
  • Experience researching enterprise, internal, or workplace products used by employees.
  • Proven ability to work as the first or only researcher on a team: set the agenda, say no to low-value studies, and coach others on research craft.
  • Clear writing and presentation that moves senior leaders to a decision.

Ways to stand out from the crowd:

  • Research on AI tool adoption, knowledge-worker productivity, or how teams change the way they work.
  • Internal IT, employee experience, or workplace technology research.
  • Quantitative depth: SQL, R, or Python, and quasi-experimental designs (such as matched comparisons) that separate what drives adoption from what only correlates with it.
  • You've used LLMs to scale research synthesis and know where they fail.

NVIDIA is widely considered to be one of the technological world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, and enjoy having fun, then what are you waiting for? Apply today!


#LI-Hybrid

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:
208,000 USD – 327,750 USD for Level 5; and 240,000 USD – 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 7, 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

2 Minutes Ago
Hybrid
15-24 Hourly
Entry level
15-24 Hourly
Entry level
eCommerce • Fashion • Retail • Sales • Wearables • Design
Provides personalized styling advice, product recommendations, and complete looks for customers while driving sales and delivering a seamless checkout experience. Maintains strong product knowledge, supports stockroom organization and POS transactions, builds customer relationships, and contributes to operational excellence. Requires flexible availability, retail experience, communication skills, teamwork, and the ability to perform physical tasks such as lifting, bending, kneeling, and maneuvering through sales and stockroom areas.
Top Skills: Point-Of-Sale (Pos) Systems
8 Minutes Ago
Hybrid
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads managed-services data analytics and business intelligence workstreams for healthcare revenue cycle operations. Oversees planning, budgeting, delivery, dashboards, reporting, data models, and system data flows. Guides teams using Azure Data Factory and cloud data pipelines, ensures analytics quality and security compliance, resolves client issues, mentors staff, and identifies opportunities for automation, advanced analytics, and AI-supported tools.
Top Skills: Azure Data Factory
9 Minutes Ago
Hybrid
San Francisco, CA, USA
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Leads finance transformation consulting engagements focused on working capital, treasury, liquidity, cash flow, capital structure, and financial transactions. Manages client accounts and project delivery, develops financial strategies, coaches teams, ensures quality and compliance, and identifies opportunities to improve financial performance through analytics, innovation, and technology.

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