Lead User Experience Researcher - IT and Employee Productivity
In short. Lead User Experience Researcher - IT and Employee Productivity at NVIDIA: a full-time lead or staff-level role, on-site in Santa Clara, CA. The employer does not list a salary. Asks for 12+ years of experience. Skills mentioned: Python, Product roadmapping, SQL, LLMs. Posted Nov 3, 2026, checked on the employer's site 21 min ago.
- Early applicant
Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
Skills mentioned
About the role
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.Opens NVIDIA's own application page. No sign-up on Sudo Get Job.
