Controls Engineer

Company Overview:
Formed by a former SpaceX, Tesla and Palantir team, Critical Loop was born out of a mission to fix the electric grid. Today, we are making power more accessible and efficient by combining industry-leading portable energy storage with advanced predictive software. We deliver mobile power directly to our customers' locations, helping them operate at full capacity while lowering peak power costs. Serving industries such as factories, electric vehicle charging stations, data centers, and critical infrastructure, Critical Loop ensures reliable energy solutions wherever they are needed.

Responsibilities

• Design, maintain, and improve well-documented, production-ready Python packages for energy modeling and control

• Collaborate with the engineering team to evolve Critical Loop’s control architecture and backend services

• Develop integrations with DER devices using industrial protocols such as MODBUS and CAN

• Build and deploy infrastructure using tools like Docker, Terraform, and Ansible

• Translate utility tariffs and DER characteristics into code for analysis

• Build AWS-based data pipelines for telemetry ingestion and historical analysis

• Write clear and maintainable documentation, configuration interfaces, and internal tooling

• Contribute to modeling physical, economic, and control behaviors of distributed assets

• Learn and apply evolving standards and technologies such as UL 3141, IEEE 2030.5, or UL 9540

• Apply state-of-the-art AI techniques to control, forecasting, or optimization problems and deploy them in real-world energy systems

Must Haves

• Experience with AWS services and building scalable telemetry or control pipelines

• Comfortable modeling and simulating real-world systems (e.g., batteries, tariffs, control loops)

• Demonstrated ability to apply and deploy AI/ML models in real-life applications

• Strong communication and collaboration skills, especially across disciplines

• Ability to learn complex topics like grid interconnection standards and utility data systems

• Proficiency in Python with experience maintaining production software and internal libraries

Nice to Haves

• Master’s or PhD in Computer Science, Electrical Engineering, Physics, Mathematics, or a similar technical field

• Strong grasp of electricity fundamentals and renewable energy technologies

• Experience with infrastructure-as-code tools like Docker, Terraform, and Ansible

• Familiarity with industrial communication protocols such as MODBUS and CAN