Senior Staff Engineer - Employee Productivity - CA, Santa Clara, United States
$200,000 - $322,000 USD yearly
Originally posted 11 September 2026 by the employer.
Embed LLM and vector-search capabilities into existing product surfaces.
About the role
This Senior Staff Engineer will drive the evolution of NVIDIA's AI-powered employee experiences across web and mobile, partnering with global teams. This role involves embedding LLM and vector-search capabilities into existing product surfaces.
What you'll do
- Build end-to-end features that power a seamless, AI-rich employee experience across web and native mobile apps.
- Architect highly performant services and UIs that surface personalized content, knowledge, and search results to a global workforce.
- Embed LLM and vector-search capabilities into existing product surfaces, driving relevance and continuous learning loops.
- Own system design and code reviews, mentoring engineers across the team.
- Integrate third-party HRIS, collaboration, and productivity platforms to create cohesive, automated user journeys.
- Champion modern front-end patterns (React/Next.js, TypeScript, Tailwind) and cloud-native back-end practices (K8s, containers, CI/CD).
- Instrument robust observability—tracing, structured logging, and SLA dashboards, helping SREs achieve 24×7 reliability.
- Uphold security, privacy, and accessibility standards across all user journeys and promote technical documentation and knowledge-sharing sessions.
What you'll need
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
- 12+ years of full-stack product engineering, including 3+ years at the principal or staff level guiding cross-functional teams.
- Proven track record delivering consumer-grade web and/or mobile experiences at scale.
- Expertise in search, recommendation, or applied-AI systems.
- Hands-on experience with modern cloud infrastructure, K8s, and automated CI/CD.
- Strong data-modeling with relational and NoSQL stores.
- Fluency in application security.
- Strong mentoring skills, with the ability to provide vision and contribute directly to implementation.
Skills: AI-powered employee experiences, LLM, vector-search, cloud-native, React/Next.js
This role has been open 33 days — well below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 281 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 993 | 6147 · 145 employers |
| Median days open | 45 d | 50 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: AI-powered employee experiences, LLM, vector-search, cloud-native, React/Next.js
Who's hiring in this category
- NVIDIA (this employer) · 289 open roles · median 44 d
- Qualcomm · 61 open roles · median 57 d
- AMD · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.