Über diese Control Systems & Modeling Engineer, R&D Stelle bei ON.energy
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.
- 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.
