Texas A & M University

Automation & Controls Engineer

Texas A & M University$88K — $105K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in applicable field or equivalent experience.
  • 6+ years of related experience in automation and controls engineering.

Responsibilities

  • Automate vacuum arc melting operations and related processes.
  • Implement hot rolling workflows with temperature and timing controls.
  • Oversee mechanical testing routines and data capture.
  • Design robotic systems for specimen transport without manual intervention.
  • Develop Python middleware for command translation from optimization systems.
  • Implement real-time data acquisition and structure outputs for AI systems.
  • Create safety protocols for high-temperature and high-force operations.

Benefits

  • Comprehensive benefits package through Blue Cross and Blue Shield.
  • Defined benefit retirement plan with employer contributions.
  • Generous paid time off including vacation and sick leave.
  • Robust training and professional development opportunities.
  • Support for health and wellness initiatives.
Full Job Description

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

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 '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 benefits through Blue Cross and Blue Shield of Texas and Prescription coverage by Express Scripts.
  • Options for , Dental, Life, and Long-Term Disability insurance.
  • A defined benefit retirement plan with the (TRS) with 8.25% employer contribution.
  • Additional Voluntary Retirement Programs: 403(b) and a Deferred Compensation Program 457(b).
  • options for medical and childcare expenses
  • Generous paid time off with , vacation and sick leave.
  • Robust free training access through plus professional development opportunities.
  • and Educational release time to further your academic pursuits.
  • Access to programs that provide opportunities for employees to engage in health and fitness.
  • Wellness offered to employees to promote work/life balance.

Helpful Applicant Information

Required Materials for Application:

  • Resume/CV
  • Three work references with their contact information; at least one reference should be from a supervisor/former supervisor.
  • Letter of interest (dependent upon position)

Applications received by Texas A&M Engineering must have all required job application data entered.

Failure to provide all job application data could result in an invalid submission and a rejected application.

Compensation Philosophy:

  • Recruit and retain high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
  • Offer total rewards, flexible benefits, professional development, performance recognition and work-life balance.
  • Ensure resources are readily available and utilized to attract and retain the highest quality researchers, faculty, and staff.

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