Engineering Technician – AI Data Center Systems (Servers & GPUs)

Advanced Micro Devices, Inc•Austin, TX

23h•Onsite

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. We have a brand new opportunity due to growth for an Engineering Technician – AI Data Center Systems (Servers & GPUs) to support the bring-up, debug, and sustainment of AI data center servers and GPU-based compute platforms. This role works closely with hardware, systems, and infrastructure engineering teams to enable reliable, high-performance AI compute at scale. This role offers the opportunity to work on cutting-edge AI and GPU compute systems, including exposure to next-generation data center technologies in a collaborative engineering culture. This opportunity is an on-site, Lab-based role in our Austin Texas Engineering Lab. THE PERSON You are highly motivated and have an ability to work independently while supporting fast-paced engineering teams. You are also known for your strong attention to detail and documentation discipline. You bring successful previous experience including hands-on hardware skills, work experience in lab or data center environments and the ability to troubleshoot complex server and GPU issues under tight schedules. Your excellent written and verbal communication and interpersonal skills have helped you build a track record of working collaboratively and efficiently with engineers, technicians, and operations staff at all levels. And most importantly, you have a consistently safety-focused mindset when working around high power and cooling systems.

Requirements

Hands-on experience with: Server hardware or data center systems GPU or accelerator-based platforms
Strong understanding of: Power delivery, cooling, and airflow in high-density systems PCIe, networking, and high-speed interconnects
Experience using lab tools such as: DMMs, oscilloscopes, logic analyzers
Comfortable working in ESD-controlled lab and data center environments
Ability to lift and rack servers (with assistance as required)
Excellent written and verbal communication and interpersonal skills
Consistently safety-focused mindset when working around high power and cooling systems

Nice To Haves

Experience supporting AI platforms in the semiconductor industry
Familiarity with Linux-based systems and basic command-line diagnostics
Experience with: Liquid-cooled or hybrid-cooled server systems High-power GPU racks (multi-kW per rack)
Prior work in hyperscale data centers, engineering labs, or NPI environments
Ability to read schematics, BOMs, and hardware debug documentation
Related certifications are highly desirable

Responsibilities

Install, configure, and maintain AI servers, GPU platforms, and related infrastructure
Perform system bring-up, debug, and validation of server hardware, GPUs, and interconnects
Execute hardware modifications, including: Cable routing and management (power, networking, high-speed interconnects) Installation of GPUs, NICs, memory, storage, and accelerators Test point installation, probing, and signal measurements
Diagnose and troubleshoot: Power, thermal, and cooling issues Server boot failures, GPU detection issues, and PCIe errors Hardware faults such as shorts, damaged PCBs, or marginal components
Support failure analysis and root-cause investigations
Coordinate with cross-functional teams (hardware, systems, facilities, IT, safety)
Maintain accurate documentation of configurations, changes, and test results
Support lab and data center operations, including rack builds, rework, and audits