25 days ago
Westerville, OH, USAMid Level
Responsibilities
- Develop simulation environments for controls development and testing using FMU/FMI standards and equipment reduced-order models.
- Create reduced-order models from real or synthetic unit, system, and environment data.
- Support digital twin development and implementation and maintain FMU packages for simulation deployment.
- Investigate and implement machine learning, reinforcement learning, model-predictive control, and other data-based control strategies.
- Develop, train, and validate ML models for adaptive thermal control, predictive maintenance, and anomaly detection.
- Deploy ML inference pipelines on Linux-based industrial platforms.
- Integrate equipment and simulations using Modbus, CAN, MQTT, REST, HTTP/REST, and related industrial interfaces.
Requirements
- Bachelor's or master's degree in Computer Science and Engineering or Electrical and Computer Engineering, with a strong emphasis on software.
- At least 2 years of experience in a similar position.
- Proficiency in Python programming and C/C++ programming.
- Experience with TensorFlow or PyTorch.
- Experience with Git/GitLab, Linux, Docker/containerization, and industrial communication protocols including MQTT, Modbus, and CAN.
- Ability to work closely with mechanical and controls engineers on intelligent thermal-system control strategies.
About Vertiv
Vertiv builds power, cooling, and IT infrastructure for data centers, communication networks, and industrial facilities, sold as hardware, software, and services. Its portfolio spans UPS systems, thermal management, racks, prefabricated modules, and monitoring/management software, backed by global field service and commissioning. Headquartered in Columbus, Ohio, Vertiv was formed from Emerson Network Power and became a publicly traded company on the NYSE.