Power System Engineer - Interconnection Studies

About the role

GridCARE solves the most critical bottleneck in AI's growth trajectory: immediate access to power. GridCARE enables beneficial load growth and renewable energy by leveraging AI and automation to unlock grid capacity and modernize the interconnection process.

Responsibilities

• Perform load and generation interconnection studies, including steady-state, short-circuit, or dynamic analysis with widely accepted commercial tools.
• Develop power flow and stability models to evaluate system impact for new interconnections, including data centers and renewable generation (inverter-based resources).
• Collaborate directly with utilities, developers, and regulators to understand their needs and facilitate smooth interconnection processes and compliance with standards.
• Evaluate interconnection options, system upgrades, and Grid-Enhancing Technologies (GETs), providing clear recommendations to stakeholders.
• Partner with AI and automation teams to streamline study processes and improve accuracy.
• Stay engaged with the latest interconnection news, standards, and emerging solutions in power systems, including the DOE i2X forum and ESIG modeling task force.

Qualifications

• Required: Bachelor’s or higher in Electrical Engineering (Power Systems focus) or related field. 2+ years of experience in power system studies, interconnection planning, or related areas.
• Proficiency with commercial power system tools (e.g., PSSE, PSLF, PowerWorld, PSCAD, PowerGEM TARA, ASPEN).
• Strong coding skills in Python or equivalent, including use of power system tool APIs (psspy, simauto, pypowergem).
• Strong understanding of FERC, NERC, and ISO/RTO interconnection processes.
• Experience working with or for a utility transmission planning or interconnection team.
• Knowledge of steady-state and dynamic load modeling requirements.
• Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment, with a focus on client interaction.

Preferred

• Experience in applying machine-learning and AI applications to power system studies.
• Able to leverage AI code development tools such as Cursor, Copilot and Claude Code to accelerate development.
• Experience deploying power system applications in the cloud.
• Familiarity with version control (git) and basic software engineering practices.
• Ability to write well-documented, tested, and maintainable code.

What we offer

• Competitive salary and equity.
• Comprehensive benefits package.
• Hybrid work environment with catered lunches and snacks.
• The chance to work at the intersection of AI, automation, and power systems alongside experienced engineers and leading researchers.
• A mission-driven team focused on shaping the future of the energy transition.