Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Machine Learning @ 4
Leadership @ 7
Communication @ 4
GPU @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA's data centers host ground-breaking products across high-performance computing to machine learning applications for autonomous vehicles and healthcare. The Global Connectivity Distinguished Engineer will accelerate next-generation solutions by aligning strategic design, deployment, and optimization of high-capacity terrestrial long-haul and subsea pathways that interconnect AI Factories. This role bridges physical fiber infrastructure and global-scale AI deployments.
Responsibilities
- 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 and influence market rules to support reliable and scalable fiber options for 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.
- Navigate sophisticated international regulatory frameworks and ITU-T standards to identify constraints with cross-border data transfers.
- Strategically manage 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.
Requirements
- 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/economic modeling, contracts, and risk evaluation for energy-related transactions.
Ways to Stand Out
- 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.
Compensation & Benefits
- Base salary range: 320,000 USD - 488,750 USD (determined by location, experience, and comparable pay).
- Eligible for equity and company benefits.
Additional Information
- Applications accepted at least until February 28, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.