NVIDIA's data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare! At the heart of our data centers is the ability to engineer integrated system designs in close coupling to NVIDIA's industry-leading GPU products. We are seeking a Global Connectivity Distinguished Engineer to accelerate next-generation solutions.
The Global Connectivity Distinguished Engineer is responsible for working with industry partners to align the strategic design, deployment, and optimization of high-capacity pathways—terrestrial long-haul and subsea—that interconnect AI Factories. You will act as the bridge between physical fiber infrastructure and global-scale AI deployments.
What you’ll be doing:
Participate with partners on diverse long-haul terrestrial routes to ensure network resilience and high-capacity data flow between regional AI hubs.
Participate in subsea and terrestrial consortiums to enable capacity, efficiency, and optimize cost-per-bit for transit.
Work with government relations to facilitate engagements by influencing market rules to support reliable and scalable fiber options to enable AI Factories
Conduct market and connectivity-systems analysis, providing economic modeling, risk assessment, and portfolio valuation to inform investment decisions.
Advance the transition from "best-effort" transport to ultra-reliable, low-latency communication (URLLC) protocols.
Responsible for navigating sophisticated international regulatory frameworks and ITU-T standards to identify constraints with cross-border data transfers.
Strategically manage the 3–5 year timelines for carrier-neutral interconnection, working with government stakeholders.
Coordinate AI interconnection needs with national data residency laws and security and encryption requirements
Lead commercial, regulatory, engineering, and analytical disciplines to implement a coordinated global fiber strategy.
What we need to see:
Minimum of 18+ years in a business leadership role within a Hyperscale Cloud Provider or a Tier-1 Global Carrier
Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience
Proven track record of leading large infrastructure projects such as transoceanic subsea systems or national-scale terrestrial fiber builds.
Demonstrated experience designing interconnections for high-density GPU clusters with the unique backhaul requirements needed for AI training vs. inference.
Deep understanding of Right-of-Way (ROW), subsea landing stations, and power-to-fiber ratios.
Demonstrated ability to lead multidisciplinary teams and implement sophisticated commercial initiatives.
Proven track record of engaging with utility commissions, federal regulators, and grid operators.
Experience with both new and established global fiber ecosystems
Skilled in financial modeling, contracts, and risk evaluation for energy-related transactions.
Ways to stand out from the crowd:
Deep expertise in fiber-system economics, utility ratemaking, and energy markets.
Experience negotiating agreements, evaluating collaborative right-of-way options, and supporting large-scale infrastructure planning.
Comfortable operating at the intersection of engineering, markets, and policy.
You will also be eligible for equity and benefits.
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.Skills Required
- 18+ years of business leadership experience within a hyperscale cloud provider or Tier-1 global carrier
- Bachelor's or master's degree in computer science or software engineering, or equivalent experience
- Track record leading large infrastructure projects, such as transoceanic subsea systems or national-scale terrestrial fiber builds
- Experience designing interconnections for high-density GPU clusters, including backhaul requirements for AI training and inference
- Deep understanding of right-of-way, subsea landing stations, and power-to-fiber ratios
- Ability to lead multidisciplinary teams and implement sophisticated commercial initiatives
- Experience engaging with utility commissions, federal regulators, and grid operators
- Experience with new and established global fiber ecosystems
- Proficiency in financial modeling, contracts, and risk evaluation for energy-related transactions
- Expertise in fiber-system economics, utility ratemaking, and energy markets
- Experience negotiating agreements and evaluating collaborative right-of-way options
- Experience supporting large-scale infrastructure planning
- Ability to operate at the intersection of engineering, markets, and policy
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
