Control Systems & Modeling Engineer, R&D

ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world’s leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we’re scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future.

Our R&D team is looking for an Electronics Engineer, Electrical Engineer, or related professional with a passion for mathematical modeling and advanced control systems to join our Modeling and Control Strategies team. We are seeking a cutting-edge technical profile focused on robust classical control theory, dynamic modeling of physical systems, and a strong orientation toward laboratory testing and validation.

KEY RESPONSIBILITIES

Design, simulate, and implement advanced control strategies and mathematical modeling for non-linear dynamic systems.

Work at the intersection of power electronics and renewable energy systems (inverters, microgrids, battery energy storage systems - BESS).

Apply System Identification techniques for controller optimization and parameter estimation.

Actively participate in simulation, prototyping, and real-time testing phases within internal and external laboratories.

Collaborate closely with a highly qualified technical and academic multidisciplinary team.

EXPERIENCE AND REQUIREMENTS

Education: B.S./M.S. in Electronics Engineering, Electrical Engineering, or related fields (Mandatory).

Postgraduate: Current student or graduate of a Master’s in Automation and Control (or similar postgraduate programs).

Strong foundation in power electronics, power systems, and their dynamics.

Mathematical modeling, state-space variables, and system identification.

Proficiency in Matlab / Simulink and Python applied to control systems and simulation.

Languages: Professional fluency in English (technical reading and fluent communication).

Location & Availability: Preferably residing in Buenos Aires and surrounding areas. Candidates living in other regions of Argentina must be available to travel for agreed-upon face-to-face meetings.

Availability to travel to the various projects and internal/external laboratories we collaborate with.

Knowledge or experience in Machine Learning techniques applied to control optimization or system identification.

Proficiency in specific simulation tools and development environments: PSCAD, LabVIEW,and PSIM (or similar).

Experience or knowledge in simulation and validation methodologies: MIL (Model-in the-Loop), SIL (Software-in-the-Loop), PHIL (Power Hardware-in-the-Loop), CHIL (Controller Hardware-in-the-Loop), and Alpha Testing.

Experience with RCP (Rapid-Control-Prototyping) techniques.

Experience or strong interest in renewable energy (solar, wind, battery systems).

Practical experience with Real-Time Systems and laboratory testing/trials.

For US-based roles - What you’ll get:

Competitive salary + annual performance-based bonus eligibility

Medical, dental, and vision insurance

401(k) with company match

Paid time off and company holidays

For Mexico-based roles - What you’ll get:

Competitive salary + annual performance bonus eligibility

Christmas Bonus (Aguinaldo): 30 days

Major medical expenses and life insurance

Paid time off and holidays (per local policy)

For all roles:

Professional development and growth opportunities

Opportunity to grow with a mission-driven team shaping the future of clean energy

Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.

Accommodations: If you need an accommodation during the application process, email recruitment@onenergystorage.com

Benefits vary by role and location and are subject to change.