Senior Equipment Engineer

Advanced Micro Devices, Inc•Austin, TX

13d•Hybrid

About The Position

AMD is seeking a Senior Equipment Engineer to join our Automated Test Equipment (ATE) Lab in Austin, Texas. In this highly visible, hands-on role, you will be responsible for the reliability, performance, and continuous improvement of the critical equipment used to validate and manufacture AMD's next-generation semiconductor products. As the technical expert for ATE systems, you will partner with engineering, manufacturing, and operations teams to solve complex equipment challenges, improve uptime, and drive operational excellence. You will also play a key role in mentoring technicians, developing best practices, and supporting the introduction of new technologies into the lab environment.

Requirements

Bachelor's degree preferred in Electrical Engineering, Mechanical Engineering, Manufacturing Engineering, or a related technical discipline.
Experience supporting semiconductor Automated Test Equipment (ATE) in a manufacturing or lab environment.
Strong troubleshooting expertise with electrical, mechanical, and electromechanical systems, including root cause analysis and hardware debug.
Hands-on experience with ATE platforms and associated hardware, including Advantest, Cohu, and Hontech/Huntech equipment.
Knowledge of oscilloscopes, logic analyzers, digital multimeters, schematics, and electronic test methodologies.
Experience developing technical procedures, maintenance documentation, and training materials to support operational excellence.
Familiarity with data analytics, automation, Python, or AI-assisted diagnostics used to improve equipment reliability and manufacturing performance.

Nice To Haves

Relevant certifications in semiconductor manufacturing, equipment engineering, reliability, or automation are a plus.

Responsibilities

Own the reliability, performance, and operational readiness of ATE lab equipment and infrastructure.
Serve as the technical escalation point for complex equipment issues, leading root cause analysis and corrective actions.
Drive equipment uptime, yield improvement, and manufacturing efficiency through data-driven problem solving and continuous improvement initiatives.
Develop and maintain maintenance plans, troubleshooting procedures, response flows, and Best Known Methods (BKMs).
Partner with engineering, manufacturing, and operations teams to support new technology introductions and equipment readiness.
Mentor technicians and engineers while leveraging automation, analytics, and AI-enabled tools to improve diagnostics and operational effectiveness.