Technologist - R&D

ON.energyis building the backbone of energy and AI infrastructure powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that solve the toughest resilience challenges, delivering custom solutions for AI data centers, mission-critical facilities, and front-of-the-meter assets. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software,ON.energy develops

projects worldwide that set new benchmarks for resilience.

The Technologist will serve as a senior technical advisor, technology scout, and innovation strategist for ON.energy’s Research & Development organization. This role is responsible for identifying and evaluating emerging technologies, building repeatable technology evaluation rubrics, advising leadership on innovation opportunities, and translating ambiguous technical options into defensible recommendations. Residing within the R&D team, the position ensures that ON.energy’s technology roadmap is grounded in rigorous systems thinking, practical techno-economic analysis, supplier diligence, and clear decision criteria.

• Develop structured evaluation frameworks for technologies, vendors, product concepts, and partner capabilities. Define weighted criteria covering technical performance, maturity, manufacturability, safety, compliance, reliability, lifecycle value, integration complexity, and commercial fit (partnering with ON's supply chain team) to identify engineering-adjacent metrics and scoring rubrics.
• Create minimum thresholds and stage-gate decision criteria for concept screening, supplier down-selection, proof-of-concept approval, pilot execution, and product adoption.
• Thoroughly document assumptions, scoring rationale, evidence gaps, risk registers, and recommendations so technology decisions can be reviewed, challenged, and reused across projects.
• Toolify or systematize approaches wherever possible, leveraging agentic AI to develop repeatable, automatic process for technology evaluation and reporting to ensure broad, easily-accessible knowledge transfer internal to ON.

• Monitor OEM roadmaps, supplier activity, academic research, national laboratories, standards bodies, customer requirements, market participation trends, and adjacent industries to identify technologies relevant to ON.energy's product strategy.
• Maintain a prioritized pipeline of emerging technologies, companies, architectures, and research topics. Recommend which opportunities merit deeper diligence, proof-of-concept work, or executive review.
• Translate scouting findings into concise briefs that explain relevance to energy storage, power conversion, controls, grid integration, data center power, UPS applications, and future product architectures.

• Advise R&D and company leadership on technology trends, build/buy/partner tradeoffs, supplier claims, integration risks, product roadmap implications, and recommended next steps.
• Convert unclear or early-stage ideas into decision-ready concept summaries, including value proposition, technical approach, target use cases, risks, proof points, and resource requirements.
• Support product, engineering, supply chain, commercial, and executive teams by providing technical diligence and structured recommendations for technology-related decisions.

• Model-Based Evaluation:
  Build or supervise practical models that compare lifecycle value, augmentation impacts, efficiency, auxiliary loads, availability, reliability, warranty exposure, Cap Ex/OpEx, and operational constraints.
• Systems Integration Review:
  Assess interfaces across batteries, PCS/inverters, EMS/SCADA, BMS, thermal systems, protection, controls, metering, communications, and grid interconnection requirements.
• Risk and Sensitivity Analysis:
  Identify technical, commercial, compliance, and implementation risks. Where useful, apply sensitivity analysis, optimization, probability-based methods, or scenario comparisons to clarify decision quality.

• Frame the right technical questions for OEMs, EPCs, consultants, laboratories, and technology partners. Validate claims against data, test evidence, standards, references, and integration realities.
• Create supplier and technology scorecards that compare fit to ON.energy requirements, technical maturity, cost-risk profile, validation burden, serviceability, and implementation schedule.
• Own and manage technology pilot programs that reduce adoption risk through disciplined component-level and system-level validation. Define pilot objectives, success criteria, test plans, integration requirements, instrumentation needs, failure modes, decision gates, and exit criteria so pilots produce actionable evidence for product…