Job Description

Responsibilities

  • Build autonomous optimization systems for the real world — connecting AI, control, and process intelligence.
  • Prototype and tune reinforcement learning, model-predictive control, or hybrid physics-ML algorithms.

About you

  • You’re an ML/Control engineer who wants your models to touch the real world.
  • You enjoy writing code that both trains and controls.
  • You’re excited by the challenge of turning industrial data into autonomy.

What we're looking for

  • Strong foundation in ML / optimization — e.g., reinforcement learning, MPC, system identification, or Bayesian methods.
  • Understanding of control theory, process systems, or simulation environments is a plus.
  • Experience with real-time data or streaming frameworks (MQTT, OPC-UA, Kafka, etc.) is a plus.

#J-18808-Ljbffr

Apply for this Position

Ready to join SUPCON? Click the button below to submit your application.

Submit Application