Job Board
Who's hiring for AI infrastructure
GPU energy engineers, compute analysts, grid capacity planners, cooling systems designers. The roles shaping the $1T+ buildout.
Hiring patterns are a leading indicator we track. When a hyperscaler posts for grid capacity planners, or a datacenter REIT hires a VP of Infrastructure Finance, that tells us something about the pipeline — often months before permits or filings appear. This board is both a resource and a signal source.
Showing 14 roles
Compute Analyst
Lead observability and tooling for the Capacity Strategy & Operations team. Build self-service tools that let teams understand their capacity, efficiency, and costs across one of the largest GPU fleets in AI.
Finance & Strategy, Compute Infrastructure
Own financial planning for Anthropic’s accelerator compute spend. Build models that cover everything from unit economics of individual training runs to long-range fleet investment planning.
Research Compute Operations
Own the researcher experience with Anthropic’s internal compute tooling. Both the day-to-day support and the longer-term product vision for how researchers interact with large-scale training infrastructure.
Data Center Engineer, Power Systems Modeling
Design and optimize power systems with a focus on microgrids and mission-critical environments. Lead integration of renewable power generation and energy storage into Google’s datacenter fleet.
Software Engineer, Data Center, Power Modeling
Build tools and services on the Power Modeling team to gather and serve accurate power data about how Google’s fleet of data centers are planned and built, from power grid to chips.
Energy Program Manager, Strategic Business Operations
Develop frameworks for Google’s long-term energy strategy. Design data pipelines for energy portfolio analytics and coordinate internal energy initiatives including project planning and performance tracking.
Cloud Platforms and Infrastructure Engineer, TPU/GPU
Provide technical guidance to customers adopting Google Cloud TPU and GPU services. Advise on secure foundational cloud implementations and automated provisioning of accelerator infrastructure.
Senior Data Center Cooling Infrastructure Engineer
Lead end-to-end design of heat-rejection and cooling systems as NVIDIA scales to gigawatt-scale AI Factories. Build digital twins using Omniverse for thermal modeling and predictive operation.
Sr. Energy Strategy Manager, AWS Energy Team
Lead development of comprehensive utilities strategy for AWS data centers across the Americas. Discover new supply opportunities that deliver near-term capacity with an accelerated path to net-zero carbon supply.
Data Center Controls Engineer, Capacity Delivery
Develop and maintain building management systems (BMS) and electrical power monitoring systems (EPMS) across AWS data centers. Troubleshoot, program controls logic, and manage service contracts.
Data Center Energy Program Manager
Support the development of cost-effective energy solutions for Meta’s growing fleet of data centers. Establish energy requirements, lead negotiations for energy infrastructure agreements, and coordinate with utilities on interconnection.
Manager, Energy Operations
Lead Meta’s energy operations team supporting the data center fleet. Data centers are the foundation for Meta’s rapidly scaling infrastructure.
Software Engineer, GPU Infrastructure
Design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleets. Job scheduling, cluster management, snapshot delivery, CI/CD.
Datacenter Hardware Operations Technician, Stargate
Serve as OpenAI’s primary on-site hardware contact at the Stargate campus in Abilene, TX. Collaborate with Oracle teams and vendors, capture lessons learned, and develop standards for future infrastructure projects.
Track what these hires are building
GreenCIO monitors the permits, grid filings, and regulatory signals behind these roles — scored by probability, updated continuously.
Common Questions
What kinds of roles are on this board?+
Roles where AI infrastructure meets energy systems: GPU energy modeling engineers, compute capacity analysts, grid interconnection planners, datacenter sustainability leads, liquid cooling engineers, infrastructure finance VPs. If a role involves the physical or financial infrastructure behind AI compute, it belongs here.
Why does an infrastructure intelligence platform run a job board?+
Hiring patterns are a signal. When Meta posts for grid capacity planners or NVIDIA hires liquid cooling engineers, it reveals infrastructure pipeline months before permits appear. We track these signals anyway — the job board makes them useful to job seekers, and job seekers are often our future subscribers.
How are listings sourced?+
We pull from company career pages, LinkedIn, and specialized job boards. Each listing is reviewed for relevance to the AI infrastructure-energy nexus. We only list roles where the work directly touches compute infrastructure, energy systems, or the capital flows connecting them.
Can companies post roles directly?+
Yes. If you're hiring for roles in AI infrastructure, energy, compute economics, or datacenter operations, reach out via hello@greencio.com. We review for relevance to keep the board useful.