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Automation & Controls Engineer

tamus · College Station

🇬🇧 English
Python Bayesian optimization

Job description

About the role

We are looking for an Automation & Controls Engineer to lead the integration of metallurgical processing equipment into a closed‑loop, AI‑orchestrated experimental platform at Texas A&M Engineering. The role involves translating algorithmic directives into machine actions and feeding structured results back to a Bayesian optimization engine.

Key responsibilities

  • Automate vacuum arc melting operations, including electrode positioning, chamber sequencing, power profile control, and ingot extraction.
  • Develop and execute automated hot‑rolling workflows with pass schedule control, temperature monitoring, and thickness feedback.
  • Automate mechanical testing routines on universal testing machines and hardness testers, handling specimen loading and data capture.
  • Design, build, and commission robotic sample‑transfer systems to move specimens between processing, characterization, and testing stations.
  • Create Python‑based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated machine actions.

Required profile

  • Proven experience automating metallurgical processing equipment.
  • Ability to develop software that interfaces with diverse hardware systems.
  • Strong problem‑solving skills in a research‑oriented environment.

Required skills

  • Python programming
  • Bayesian optimization frameworks
  • Robotics and motion control
  • Industrial control systems
  • Automation of vacuum arc melting, hot rolling, and mechanical testing equipment

What we offer

  • Competitive, commensurate salary
  • Comprehensive benefits package
  • Collaborative research environment within a leading engineering institution

Questions fréquentes

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Source : ats:workday

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Published 4 weeks ago

Expires 1 month from now

10 views · 0 interested

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tamus

College Station