EMS Architect / Engineer

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, market

interfaces (ISO/RTO, FERC 2023), and DCIM hooks for data-center customers.

• Define EMS requirements, data contracts, and APIs between own the workload-aware dispatch logic

for 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, and

grid-services participation in PJM, NYISO, ISO-NE, MISO, CAISO, ERCOT.

• Partner with Cloud/DevOps to deploy EMS via Azure DevOps CI/CD with secure remote-ops, OTA

updates, and NERC CIP / IEC 62443 controls.

• Support the Detroit demo microgrid commissioning and the first C&I commercial deployment; own

field 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 market

constructs.

• Familiarity with IEEE 1547-2018, IEEE 2030.7/2030.8 (microgrid controllers), and DNP3 / Modbus

TCP / 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.