Manufacturing Engineer

Pegatron Technologies•Georgetown, TX

19d

About The Position

Pegatron Technologies LLC is seeking a driven, detail-oriented Manufacturing Engineer to join its team in Georgetown, Texas. The role analyzes, designs, and optimizes production processes, workflows, and line layouts to maximize efficiency and product quality. In a high-tech hardware assembly and advanced testing facility, the engineer supports traditional manufacturing methods as well as automation, test engineering, and quality assurance processes. The position is suited to an early-career engineer or recent graduate seeking hands-on experience in a fast-paced, high-tech manufacturing environment.

Requirements

Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or a closely related STEM field.
0–3 years of experience in a manufacturing or electronic assembly environment; relevant internship, co-op, or senior design project experience counts.
Basic familiarity with manufacturing principles such as Lean Manufacturing, Six Sigma, and 5S.
Strong analytical problem-solving abilities.
Excellent documentation skills.
Ability to adapt quickly to changing production demands.

Nice To Haves

Foundational understanding of testing workflows and scripting in Python, Bash, or SQL.
Exposure to CAD software such as SolidWorks or AutoCAD for layout designs.

Responsibilities

Optimize production line layouts and implement continuous improvement strategies to improve throughput and cycle times.
Create, update, and maintain manufacturing work instructions, workmanship standards, and standard operating procedures (SOPs).
Troubleshoot mechanical, electrical, or software issues on the assembly line to minimize downtime.
Identify opportunities to integrate automation and robotics into existing assembly and packaging lines.
Collaborate with automation technicians to deploy, monitor, and optimize programmed machinery and equipment.
Assist the validation team with hardware evaluations and cross-functional performance test suites.
Use existing test automation scripts, such as Python or Bash, to monitor systems and capture diagnostic and telemetry data.
Monitor factory processes and embed quality metrics throughout the production life cycle.
Conduct root-cause analysis of component failures, line defects, or test yields and implement corrective actions.
Help audit supplier materials and inspect final builds against engineering and regulatory standards.