Forward-Deployed Engineer, Data Centers

Do you want to work with high-caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard-working, and collegial? Join us at SB Energy, a leading infrastructure company backed by Soft Bank Group and Ares Infrastructure, pairing cutting-edge innovation with best-in-class execution. Our mission is to deliver reliable and secure data center and power infrastructure to strengthen America's future.

Founded in 2019, SB Energy is a Soft Bank Group company headquartered in Redwood City, California. In 2026, Soft Bank Group and OpenAI announced a $1 billion investment to support SB Energy as their leading development and execution partner for data center campuses, while Ares Infrastructure continues its long-standing support of the company's growth. SB Energy develops, builds, owns, and operates some of the largest and most technically advanced energy and data center infrastructure projects in the United States.

Since its founding, the company has rapidly grown into a top-tier integrated platform with more than 3 gigawatts (GW) in operation and a multi-GW pipeline of energy and data center infrastructure nationwide.

SB Energy also leverages a strong culture of innovation to identify and integrate new technologies into its projects, including its AI-based digital platform, delivering energy infrastructure that is local, reliable, and matched to load. We are building the energy and infrastructure future—today.

Come join us in accelerating the energy and infrastructure transition!

The Forward-Deployed Engineer, Data Centers, will build and operate the data, AI, and agentic workflow layers that support SB Energy data center development, engineering, delivery, operations readiness, and lifecycle improvement. This role translates project needs, engineering assumptions, source documents, schedules, constraints, risks, design inputs, operating requirements, and stakeholder questions into practical data products, tools, APIs, agent workflows, and governed decision-support systems.

This person will work across data center development, engineering, construction, procurement, finance, legal, operations, cybersecurity, SCADA, commercial, and Digital Platform teams to make project and engineering information easier to find, trust, connect, and act on. The role will create source-linked, permission-aware workflows that help teams answer project questions, track assumptions, compare scenarios, identify gaps, prepare review packets, monitor readiness, and preserve continuity from early development through construction, commissioning, operations, and future project lessons learned.

The Forward-Deployed Engineer owns the data layer, workflow orchestration, agent-ready tools, engineering and project intelligence workflows, domain Dev Ops, evals, runbooks, and adoption loop required to make those decisions more reliable, traceable, and repeatable.

• Design, build, and operate AI-enabled data and workflow systems for the full data center lifecycle, from siting and development through engineering, construction readiness, commissioning, operations handoff, performance monitoring, and lessons learned.
• Maintain governance and production readiness for data center workflows, including stakeholder acceptance criteria, approval gates, data contracts, quality checks, eval datasets, MCP/API connector requirements, RBAC, audit logging, monitoring, runbooks, incident paths, adoption metrics, and controlled releases.
• Translate recurring data center project and engineering questions into reusable agent workflows, tools, APIs, prompts, dashboards, and data products that improve speed, decision quality, traceability, and cross-functional coordination.
• Build source-linked project intelligence workflows that retrieve, summarize, compare, and cite information from SharePoint, design packages, agreements, studies, schedules, trackers, vendor materials, and approved systems of record.
• Create and maintain core project and engineering records, including assumption trackers, obligation registers, decision logs, risk registers, readiness trackers, handoff packets, and source-linked documentation that connect evidence to accountable owners.
• Connect site, grid, engineering, and commercial inputs into practical decision workflows, including GIS constraints, transmission proximity, interconnection information, land and water constraints, weather and hazard data, tax incentives, vendor inputs, and SB Energy solar/BESS pipeline context.
• Support preliminary design and technoeconomic analysis workflows, including co-location options, AC-coupled versus DC-coupled tradeoffs, BESS sizing, reliability considerations, grid congestion, interconnection risk, carbon intensity, time-to-power probability, delivered cost, and lifecycle economics.
• Support operations and lifecycle performance workflows that connect AI workload forecasts, weather forecasts, PV/BESS performance models, grid import limits, load flexibility, thermal and…