24 hours ago
Westerville, OH, USASenior
Responsibilities
- Develop simulation environments for controls development and testing using FMU/FMI standards and reduced-order models.
- Create reduced-order models from real or synthetic unit, system, and environmental data.
- Support digital twin development and implementation and maintain FMU packages for simulation deployment.
- Investigate machine learning, reinforcement learning, model-predictive control, and other data-based control strategies.
- Develop, train, and validate machine learning models for adaptive thermal-system control, predictive maintenance, and anomaly detection.
- Deploy machine learning inference pipelines on Linux-based industrial platforms.
- Integrate equipment and simulations using industrial protocols and messaging systems including Modbus, CAN, MQTT, REST, and HTTP/REST.
Requirements
- Bachelor's or master's degree in Computer Science and Engineering or Electrical and Computer Engineering, with a strong emphasis on software.
- 8+ years of experience in a similar position.
- Proficiency in Python and C/C++ programming.
- Experience with TensorFlow or PyTorch.
- Experience with Git/GitLab, Linux, and Docker/containerization.
- Knowledge of industrial communication protocols including MQTT, Modbus, and CAN.
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.