Production Engineer - Electrical

Summary

We are seeking a Production Engineer – Electrical to support and improve manufacturing operations through automation, equipment qualification, and data-driven problem solving. In this role, you will be responsible for developing, validating, and supporting automated equipment and production lines to ensure safe, efficient, and reliable manufacturing performance.

Responsibilities

• Lead production process improvements by identifying and implementing automation-based solutions that improve efficiency, reduce operating costs, and enhance safety, in collaboration with cross-functional teams.
• Lead and supportqualification of new equipment, tools, and production lines, includingFactory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and Production Verification Testing (PVT), ensuring readiness for volume manufacturing.
• Interface directly with production lines toidentify common failure modes,design and execute experiments or tests, and performroot cause analysis (RCA) to isolate failures and implement effective corrective and preventive actions.
• Develop, maintain, and analyzeissue logs, qualification reports, and performance metrics to track equipment health, yield impact, and process stability.
• Actively support production byrunning, troubleshooting, and recovering equipment and automation stations during development, qualification, and early production ramp.
• Monitor and analyze data from automation systems to identify opportunities for performance optimization, yield improvement, and downtime reduction.
• Develop requiredsoftware and hardware solutions to validate unit-under-test requirements and improve throughput and yield, including use ofLabVIEW, SQL, Python, PLC development, and advanced analytics or machine-learning-based tools as needed.
• 5–10% international travel is expected for this position.
• Other duties as needed or required.

Qualifications

Required:

• Bachelor’s degree in an Engineering discipline (Mechanical, Electrical, Mechatronics, Robotics, or related field).
• Fundamental understanding of manufacturing or automation systems, gained through coursework, internships, co-ops, or professional experience.
• Working knowledge of LabVIEW and/or at least one programming or scripting language (e.g., Python, C/C++, Java, or VBA).
• Hands-on exposure to equipment, test systems, or production environments through academic projects, internships, or entry-level engineering roles.
• Strong analytical and problem-solving skills with the ability to support troubleshooting and root cause analysis under guidance.
• Strong teamwork, communication, and organizational skills to support multiple tasks and projects in a production environment
• Candidates with strong fundamentals and interest in manufacturing, automation, and production environments are encouraged to apply, even if they do not meet every listed requirement.

Preferred:

• Master’s degree in Engineering.
• Experience in a manufacturing, automation, equipment engineering, or production engineering environment.
• Exposure to equipment or process qualification activities (e.g., FAT, SAT, PVT, NPI), either academically or professionally.
• Experience with programmable logic controllers (PLCs), basic mechanical design, electrical systems, or circuit-level troubleshooting.
• Familiarity with data analysis, automation tools, or machine-learning-based techniques applied to manufacturing or test systems.

Location

This position will be on-site based in Sugar Land, Texas.

WHY AOI?

In addition to competitive salary, AOI offers

• Flexible and competitive health (medical, dental, vision) plans offer the employee with the right options to meet individual and family needs
• Employer matching on 401(k) deferrals
• Generous PTO policy, with unused PTO payout at end of the year
• Relocation package available within US
• Immigration sponsorships (Must be currently authorized to work in the US)

We do not accept unsolicited proposals from third-party recruiters or agencies. Contacting hiring managers directly may result in disqualification of submissions.