EMS Architect / Engineer
delta electronics americasRaleigh (NC)
About the role
Who we are:
Delta, founded in 1971, is a global provider of power and thermal management solutions. Its mission statement, "To provide innovative, clean and energy-efficient solutions for a better tomorrow," focuses on addressing key environmental issues such as global climate change. As an energy-saving solutions provider with core competencies in power electronics and automation, Delta's business categories include Power Electronics, Mobility, Automation, and Infrastructure.
Key Responsibilities:
• Architect the Delta EMS platform: dispatch engine, SOC scheduler, ancillary services, marketinterfaces (ISO/RTO, FERC 2023), and DCIM hooks for data-center customers.• Define EMS requirements, data contracts, and APIs between own the workload-aware dispatch logicfor PUE/SLA-driven sites.• Lead vendor shadow program — capture algorithms, drive IP transfer, and ensure source escrow /co-development clauses are exercised.• Design optimization models (MILP / MPC) for energy arbitrage, demand-charge management, andgrid-services participation in PJM, NYISO, ISO-NE, MISO, CAISO, ERCOT.• Partner with Cloud/Dev Ops to deploy EMS via Azure Dev Ops CI/CD with secure remote-ops, OTAupdates, and NERC CIP / IEC 62443 controls.• Support the Detroit demo microgrid commissioning and the first C&I commercial deployment; ownfield tuning and post-deployment KPI tracking.
Required Qualifications:
• BS/MS in Electrical, Power Systems, Computer Science, Operations Research, or related field; 4+years (Staff: 10+) in EMS, optimization, or grid software. Hands-on experience with at least one commercial EMS platform. Strong programming in Python and/or C#/.NET or Java; SQL and time-series databases (InfluxDB, Pi, TimescaleDB).Knowledge of microgrid economics, BESS dispatch, PV forecasting, and US wholesale marketconstructs.• Familiarity with IEEE 1547-2018, IEEE 2030.7/2030.8 (microgrid controllers), and DNP3 / ModbusTCP / IEC 61850 data flows. Data-center workload coordination (PUE, SLA, AI training schedules) and DCIM integration. Exposure to 800 VDC AI-optimized power distribution architectures.
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