Automation & Controls Engineer

About this role

Job Title Automation & Controls Engineer

Agency Texas A&M Engineering

Department Materials Science & Engineering

Proposed Minimum Salary Commensurate

Job Location College Station, Texas

Job Type Staff

Job Description Why work for Texas A&M Engineering?

Who we are Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society. As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges. We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

Job Description

Purpose: We are seeking an Automation & Controls Engineer to join our research group and lead the automation and integration of metallurgical processing equipment into a closed-loop, AI-orchestrated experimental platform. The successful candidate will connect arc melting, hot rolling, mechanical testing, and robotic sample transfer systems into a coordinated workflow driven by a Bayesian optimization engine — translating algorithmic experimental directives into machine actions and returning structured results to the decision-making system.

Responsibilities: • Automate vacuum arc melting operations: electrode positioning, chamber sequencing, power profile control, and ingot extraction. • Automate hot rolling workflows: pass schedule execution, temperature monitoring, thickness feedback, and inter-pass timing. • Automate mechanical testing routines: specimen loading, test execution, and data capture on universal testing machines, hardness testers, and related equipment. • Design and commission robotic sample transfer systems to move specimens between processing, characterization, and testing stations without manual intervention. • Develop Python-based middleware that receives experimental directives from a Bayesian optimization orchestrator and translates them into coordinated PLC commands across multiple instruments. • Implement real-time data acquisition from sensors (thermocouples, load cells, encoders, imaging systems) and structure outputs into machine-readable formats for the AI/ML pipeline. • Design[EM1] safety interlocks, error recovery protocols, and fail-safe routines for unattended operation of high-temperature and high-force equipment. • Diagnose and resolve issues across the full stack — electrical, mechanical,[EM2] and software.

What we need: • Bachelor’s degree in applicable field or equivalent combination of education and experience. • six years of related experience.

What is helpful: • BS or MS in Electrical Engineering, Mechanical Engineering, Computer Engineering, Mechatronics, or a related field • Experience with PLC programming (Allen-Bradley, Siemens, or equivalent) and HMI development • Hands-on experience interfacing with scientific, industrial, or manufacturing equipment • Experience with robotic systems (UR, FANUC, or similar) and motion control • Prior experience in a research laboratory, national lab, or metals processing environment • Exposure to computer vision for automated inspection, sample identification, or quality control • Experience with high-temperature or high-force equipment (furnaces, rolling mills, mechanical test frames)

Knowledge, Skills and Abilities: • Proficiency in Python for instrument control, scripting, and automation • Ability to read and create electrical schematics and wiring diagrams • Strong troubleshooting skills across hardware and software domains • Familiarity with ROS/ROS2, LabVIEW, or data acquisition frameworks • Understanding of AI/ML workflow integration — ability to design APIs and data pipelines that connect automated instruments to optimization and decision-making algorithms • Familiarity with digital twins or simulation-based testing of automation sequences

Work Location: • Main Campus – College Station, TX.

About Materials Science and Engineering The Department of Materials Science and Engineering 's mission is to educate global leaders in materials science and engineering; perform research to address materials challenges of the 21st century; impact society, industry, national security, and the environment and attract the best minds and develop them into the leaders of tomorrow. Despite being one of the youngest departments in the College of Engineering at Texas A&M University, it is one of the largest materials science and engineering departments in the country. Our goal is to be the largest one while providing excellent education to the students. Texas A&M Engineering provides an outstanding benefits package including but not limited to: • Competitive medical insurance benefits through Blue Cross and Blue Shield of Texas and Prescription coverage by Express Scripts. • Options for Vision , Dental , Life , and Long-Term Disability insurance. • A defined benefit retirement plan with the Teacher Retirement System of Texas (TRS) with 8.25% employer contribution.

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