Role at a glance
- Salary
- $320K – $488.8K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Minimum of 18+ years in a business leadership role within a Hyperscale Cloud Provider or a Tier-1 Global Carrier
- Education
- Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience
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Role Summary
The Global Connectivity Distinguished Engineer works with industry partners to design, deploy, and optimize terrestrial long-haul and subsea pathways connecting AI Factories. The role bridges physical fiber infrastructure and global-scale AI deployments while coordinating commercial, regulatory, engineering, and analytical disciplines.
What You'll Do
- Participate with partners on long-haul terrestrial routes to support network resilience and high-capacity data flow between regional AI...
- Participate in subsea and terrestrial consortiums to enable capacity, efficiency, and optimized cost-per-bit for transit.
- Work with government relations to influence market rules supporting reliable and scalable fiber options for AI Factories.
- Conduct connectivity-systems analysis, economic modeling, risk assessment, and portfolio valuation to inform investment decisions.
- Navigate international regulatory frameworks and ITU-T standards to identify constraints on cross-border data transfers.
- Coordinate AI interconnection needs with national data residency laws and security and encryption requirements.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Minimum of 18+ years of business leadership experience within a Hyperscale Cloud Provider or Tier-1 Global Carrier; proven leadership of large infrastructure projects and interconnections for high-density GPU clusters; experience with ROW, subsea landing stations, global fiber ecosystems, regulatory engagement, financial modeling, contracts, and risk evaluation.
Required
- 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
- Leading large infrastructure projects such as transoceanic subsea systems or national-scale terrestrial fiber builds
- Designing interconnections for high-density GPU clusters with backhaul requirements for AI training and inference
- Deep understanding of Right-of-Way (ROW), subsea landing stations, and power-to-fiber ratios
- Leading multidisciplinary teams and implementing sophisticated commercial initiatives
- Engaging with utility commissions, federal regulators, and grid operators
- Experience with both new and established global fiber ecosystems
Preferred
- Deep expertise in fiber-system economics, utility ratemaking, and energy markets
- Negotiating agreements, evaluating collaborative right-of-way options, and supporting large-scale infrastructure planning
- Operating at the intersection of engineering, markets, and policy
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 a diverse 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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.