Location & Team Gatherings
Intersect has been a fully flexible workplace since its founding in 2016. We’ve been very intentional about the way we do things. We are not work-from-home, hybrid, or in-office - we are any and all of those options! Deepening social connections and offering shared experiences is a cornerstone of the way we work. We connect as a team at our Team Week experiences four times a year and at our recently established Hub locations - SF Bay Area, NYC Metro Area, NY; Denver, CO; Houston, TX; Calgary, AB; and Toronto, ON.
We are currently looking for candidates located within 60 miles of any of the listed hubs to foster more in-person connections while maintaining our flexible remote culture.
About This Role
As part of Intersect’s Microgrid Engineering team, you’ll apply advanced power system theory, simulation expertise, and real-world engineering judgment to design and validate high-performance microgrid control systems. You’ll partner closely with controls engineers, electrical design teams, external suppliers, and utility operators to develop fit-for-purpose power system models and validate controller behavior across both normal and contingency conditions. Your work will help prove what’s possible supporting microgrids that reliably power gigawatts of critical datacenter load at unprecedented scale.
Team Overview
This team plays a critical role in advancing Intersect’s mission to accelerate the clean energy transition, supporting large-scale infrastructure that delivers reliable, cost-effective power. The Microgrid Engineering team collaborates across engineering, controls, and external partners to design, test, and validate systems that operate under complex and demanding conditions. Joining this team means contributing to high-impact projects while growing your technical depth alongside experienced engineers tackling some of the industry’s most challenging power system problems.
What You’ll Do
Model and Simulate Microgrid Dynamics
• Build and oversee the development of detailed EMT and dynamic models representing loads, supervisory controls, protection schemes, and generation assets including batteries, wind, PV, reciprocating engines, and turbines.
• Identify key system parameters from design documentation, requirements, and field data to ensure models accurately reflect real-world behavior.
Validate System Stability and Performance
• Identify and simulate contingency events such as breaker trips, generator failures, and fault conditions to confirm system stability and performance
• For grid-connected systems, simulate response to grid disturbances and assess compliance with interconnection agreements, model quality standards, and ancillary market requirements
Partner Across Engineering and Suppliers
• Collaborate with adjacent engineering teams to understand system design, control logic, communication latencies, and protection schemes, feeding simulation insights back into design decisions
• Evaluate supplier documentation and models to characterize expected behavior and operational limitations of generation and storage assetsFeeding simulation insights back into design decisionsEvaluate supplier documentation and models
Support Testing, Optimization, and Field Validation
• Assess design options by evaluating performance tradeoffs and long-term cost impacts from a power system stability perspective.
• Participate in Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing, site validation planning, and performance verification.
• Support post-event analysis through field data review, model correlation, and model playback to continuously improve system fidelity.
What You’ll Bring
•M.S. or PhD in Electrical Engineering with an emphasis in power systems or control systems
•4–8+ years of experience performing EMT and dynamic power system studies for microgrids, islanded systems, or weak-grid environments
•Hands-on experience with PSCAD or similar EMT tools; familiarity with Simulink or Modelica and real-time simulation methodologies including SIL and HIL
• Strong understanding of inverter operating modes such as grid-forming, grid-following, and droop control
• Experience modeling dynamic loads, including large and fast-changing datacenter loads, and assessing their impact on system stability
• Familiarity with modeling communication delays, control system latencies, protection scheme interactions, and fault ride-through behavior
• Knowledge of utility interconnection and market requirements, particularly within ERCOT, that will help you succeed in grid-interactive system studies
• A collaborative, detail-oriented work style with the curiosity and persistence needed to solve complex, system-level engineering challenges
