Engineering Technician

AMD AMD · Semiconductors · Austin, TX · Engineering

Engineering Technician role supporting lab infrastructure for AI Data Center Systems (Servers & GPUs), focusing on the bring-up, debug, and sustainment of servers, components, and GPU-based compute platforms. This role supports hardware, systems, and infrastructure engineering teams in enabling reliable, high-performance AI compute at scale.

What you'd actually do

  1. Install, configure, and maintain hardware components for AI servers, GPU platforms, and related infrastructure
  2. Perform system bring-up, debug, and validation of server hardware components, PCBs, GPUs, and interconnects
  3. Execute hardware modifications, including:
  4. Diagnose and troubleshoot:
  5. Support failure analysis and root-cause investigations

Skills

Required

  • hands-on experience and skills working with hardware, PCBs and discrete components
  • work experience in lab or data center environments
  • ability to troubleshoot complex server component and GPU issues under tight schedules
  • highly motivated and have an ability to work independently while supporting fast-paced engineering teams
  • strong attention to detail and documentation discipline
  • excellent written and verbal communication and interpersonal skills
  • consistently safety-focused mindset when working around high power and cooling systems

Nice to have

  • Hands-on experience with server hardware and PCBs including removal, repair and replacement soldering of discrete components for data center systems and GPU or accelerator-based platforms
  • Strong understanding of Power delivery, cooling, and airflow in high-density systems, and, PCIe, networking, and high-speed interconnects
  • Hands on work 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)
  • Prior work in hyperscale data centers, engineering labs, or NPI environments
  • Experience supporting AI platforms in the semiconductor industry
  • Familiarity with Linux-based systems and basic command-line diagnostics
  • Experience reading and understanding schematics, BOMs, and hardware debug documentation
  • Associate degree or trade education certification in Electronics, Computer Engineering or related field
  • Related certifications are highly desirable