Nvidia Headquarters & Office Locations: Full 2026 Directory

Nvidia's global headquarters is at 2788 San Tomas Expressway, Santa Clara, California 95051 — a purpose-built campus in the heart of Silicon Valley that the company has occupied since 2017. Beyond Santa Clara, Nvidia runs engineering and sales offices across more than 35 countries, from Tel Aviv to Taipei, making it one of the most geographically distributed hardware and AI platform companies in the world. This directory covers every major location, with addresses and context for each region.

Where is Nvidia headquartered?

Nvidia is headquartered in Santa Clara, California. The official address is 2788 San Tomas Expressway, Santa Clara, CA 95051. The campus sits roughly midway between San Jose and Sunnyvale, in a dense tech corridor that also houses Intel, ServiceNow, and several other major silicon and enterprise software companies.

Nvidia moved into this campus — internally called Endeavor — in 2017. The campus was designed by Gensler and is recognizable for its sweeping triangular roof structure meant to evoke a chip's geometry. A second building, Voyager, opened adjacent to Endeavor in 2022, more than doubling the Santa Clara footprint to handle Nvidia's rapid headcount growth.

The Santa Clara campus houses Nvidia's CEO Jensen Huang and the executive leadership team, core GPU and CUDA engineering, corporate finance, legal, and global go-to-market functions. It is also where Nvidia's flagship data center and AI platform products — including the H100, H200, and Blackwell architectures — are architected before being manufactured through TSMC.

What is on Nvidia's Santa Clara campus?

The Santa Clara campus currently comprises two primary office buildings — Endeavor and Voyager — with additional support facilities. Together they offer approximately 750,000 square feet of workspace, designed around open collaboration and amenity-dense environments to attract engineering talent competing with Google, Apple, and Meta for the same pool of GPU and ML engineers.

Endeavor building

Opened in 2017, Endeavor is Nvidia's original purpose-built HQ. It houses the majority of executive functions, core hardware engineering teams, and the main employee amenities including a full-service café, fitness center, and outdoor collaboration spaces. The triangular roof geometry is designed to maximize natural light across the open-plan interior.

Voyager building

Voyager opened in 2022 as Nvidia's AI revenue began its steep ascent. It is architecturally consistent with Endeavor and connected by an outdoor plaza. Voyager accommodates engineering overflow from Endeavor and hosts additional R&D teams focused on AI software, including the CUDA ecosystem and Nvidia AI Enterprise platform teams.

"The Voyager building at Nvidia's Santa Clara campus was designed to feel like a single continuous workspace — the goal was to eliminate the sense that you're moving between buildings and instead create one cohesive environment for collaboration across hardware and software teams."

— Gensler, Nvidia Voyager Campus Project Profile

Where are Nvidia's US offices outside Santa Clara?

Beyond HQ, Nvidia maintains significant US offices serving engineering, sales, and support functions. The company has been expanding its US footprint steadily since 2022, driven by AI infrastructure demand and US government incentives under the CHIPS and Science Act.

Austin, Texas

Nvidia's Austin office is one of its largest US locations outside California. It houses a substantial engineering team and has been growing rapidly, partly as a talent diversification strategy away from the high cost of Silicon Valley. Austin is also home to some of Nvidia's developer relations and cloud partnerships teams supporting the hyperscaler ecosystem.

Seattle, Washington

The Seattle office primarily supports Nvidia's AI and cloud software engineering work, with proximity to Microsoft and Amazon making it a natural hub for cloud GPU and Azure/AWS partnership teams. Nvidia has been growing Seattle headcount as demand for cloud-based GPU instances (A100, H100 on AWS, Azure, and GCP) has accelerated.

Durham, North Carolina

Nvidia has a long-standing engineering office in the Research Triangle area of North Carolina, reflecting the region's density of semiconductor and networking talent. The Durham team focuses primarily on networking silicon — Nvidia's Mellanox acquisition brought significant InfiniBand and Ethernet engineering capability to this location.

Westford, Massachusetts

The Westford office also carries Mellanox heritage and houses networking and high-performance computing (HPC) engineering teams. Massachusetts has a dense ecosystem of HPC and life sciences customers, making it a natural location for Nvidia's enterprise sales coverage of the Northeast US.

Other US locations

• Beaverton, Oregon — GPU architecture and design team
• Salt Lake City, Utah — engineering support
• San Diego, California — additional engineering teams
• Remote / distributed — Nvidia has significantly expanded remote hiring across the US since 2020

Where are Nvidia's international offices?

Nvidia operates in more than 35 countries. Its international presence spans three major clusters: Israel (R&D), Asia-Pacific (manufacturing partnerships and sales), and Europe (enterprise sales and research). Here is a breakdown of the most significant international locations.

Israel — Tel Aviv and Yokneam

Israel is Nvidia's most important international engineering center. The Tel Aviv and Yokneam offices are direct products of Nvidia's $7 billion acquisition of Mellanox Technologies in 2020 — Mellanox was headquartered in Yokneam and had significant Tel Aviv engineering presence. Today, these offices house Nvidia's networking silicon engineering, DPU (BlueField) development, and a growing AI research function. Israel is effectively Nvidia's second-largest engineering site globally after Santa Clara.

Taiwan — Taipei

Taipei is Nvidia's primary Asia-Pacific office and its most strategically important international location for manufacturing coordination. Nvidia's relationship with TSMC — which manufactures all of its GPUs — means the Taipei office is central to supply chain, product engineering, and partner management. The office also supports sales and technical account management for the dense Taiwanese AI server ecosystem, including ODMs like Foxconn, Quanta, and Wistron.

China — Beijing and Shanghai

China remains a significant market for Nvidia despite export control restrictions introduced in 2022 and 2023 on its highest-end chips. Beijing and Shanghai offices support China-specific product lines (including the H20 and L20, designed to comply with US export rules), local cloud partnerships, and automotive AI (Nvidia DRIVE platform) work with Chinese OEMs. Headcount in China has been managed carefully given the regulatory environment.

India — Bangalore, Hyderabad, and Pune

India is Nvidia's fastest-growing international engineering hub. The Bangalore office is the largest, housing software engineering teams across CUDA, AI frameworks, autonomous vehicle software, and cloud platform work. Hyderabad and Pune host additional engineering and support teams. Nvidia India has been expanding rapidly as the company scales its AI software stack alongside its hardware business, and as India's domestic AI infrastructure investment grows.

Germany — Munich

Munich houses Nvidia's European engineering and automotive AI hub. Germany is central to Nvidia's DRIVE platform business — Mercedes-Benz, BMW, and Volkswagen Group are all active Nvidia automotive partners, and proximity to these OEMs makes Munich the natural European base. The Munich team also handles EMEA enterprise AI sales for the automotive, manufacturing, and research verticals.

United Kingdom — Reading and Cambridge

Nvidia's UK presence spans a sales and enterprise office in Reading (a traditional UK tech corridor) and an AI research presence connected to Cambridge's academic ecosystem. The UK is also Nvidia's primary EMEA commercial hub for financial services and cloud customers given London's concentration of financial institutions adopting AI infrastructure.

Other notable international offices

• France — Paris (enterprise sales, research partnerships with INRIA and CEA)
• Japan — Tokyo (sales, automotive, and gaming; NEC and Fujitsu partnerships)
• South Korea — Seoul (Samsung and SK Hynix memory partnerships; gaming and data center sales)
• Singapore — Regional Asia-Pacific sales and support hub
• Canada — Toronto and Montreal (AI research, proximity to University of Toronto and MILA)
• Netherlands — Amsterdam (EMEA enterprise sales, data center)
• Sweden — Stockholm (Ericsson and telecom AI partnerships)

How many employees does Nvidia have globally?

As of early 2026, Nvidia employs approximately 36,000 people worldwide — a figure that has roughly tripled since 2021 as the company scaled to meet AI infrastructure demand. According to Statista's tracking of Nvidia's annual filings, the company had around 29,600 employees at the end of fiscal year 2024 (January 2024), and headcount has continued growing at double-digit rates through 2025 and into 2026.

The majority of employees are in engineering roles — GPU architecture, CUDA and AI software, networking silicon, and autonomous vehicle systems. Sales, go-to-market, and support functions make up a smaller share than at comparably sized enterprise software companies, reflecting Nvidia's historically lean commercial model where partners (cloud providers, OEMs, system integrators) carry much of the distribution.

The US accounts for the largest share of headcount, with Santa Clara and Austin as the two biggest single-site concentrations. Israel is the second-largest country by engineering headcount after the US, and India is the fastest-growing international location.

What does Nvidia's office footprint mean for B2B sales teams?

For sales reps at companies competing with or complementing Nvidia — whether in AI infrastructure, cloud management, MLOps, enterprise software, or semiconductor services — understanding where Nvidia operates is more than a trivia exercise. Office location maps directly to where buying authority lives, where technical influencers are clustered, and where competitor displacement opportunities are most concentrated.

The practical implication: companies in Santa Clara, Austin, Tel Aviv, Taipei, Munich, and Bangalore are disproportionately likely to be evaluating, already using, or recently switching away from Nvidia's platform products. If you sell into AI infrastructure, data center networking, enterprise software, or automotive AI, those geographies are your highest-density ICP clusters.

One pattern that comes up consistently in competitive sales: companies with Nvidia in their tech stack (CUDA, NIM, Nvidia AI Enterprise) leave signals in their job postings, engineering blogs, and hiring patterns long before they issue an RFP. Tools like Stealery surface exactly those signals — you search a competitor or technology, and get a filtered list of companies actively using it, organized by size, geography, and hiring activity. For teams selling alternatives or adjacent products to Nvidia's ecosystem, that kind of list turns a cold-call motion into a warm, contextually relevant one.

Beyond competitive intelligence, Nvidia's geographic concentration also tells you something about enterprise procurement cycles. The Santa Clara HQ drives platform and strategic decisions; the Taipei office drives supply chain and ODM relationships; Tel Aviv drives networking silicon direction. A sale into Nvidia's ecosystem often requires navigating all three in parallel, which is why understanding the office map matters as much for enterprise account planning as it does for outbound prospecting.

According to Gartner's AI infrastructure research, enterprise spending on AI-accelerated computing infrastructure is projected to exceed $150 billion annually by 2027 — with Nvidia's GPU platforms capturing the largest share of that spend. That growth means the number of companies building on or around Nvidia technology is expanding rapidly, which in turn expands the surface area for both competitive displacement and ecosystem selling.