AI Server Automation & Diagnostics Engineer

Pegatron Technologies LLC

Georgetown (TX)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

Pegatron Technologies LLC in Austin, TX, is looking for an Associate AI Server Automation Engineer. In this position, you will collaborate with hardware and software teams to develop automation scripts, diagnostic tools, and monitoring software for the AI training clusters. You will play a crucial role in building the infrastructure for generative AI.

The ideal candidate possesses a Bachelor's Degree in Computer Science or related fields and has strong scripting skills in Python, C++, or Bash. This role offers a dynamic environment where you can grow your skills in the AI hardware ecosystem.

Qualifications

  • 0–3 years of hands‑on experience in server automation, hardware validation, or systems engineering.
  • Strong scripting and programming skills in Python, C++, or Bash.
  • Foundational understanding of Linux/Unix environments and network protocols.

Responsibilities

  • Develop and maintain Infrastructure‑as‑Code and configuration scripts for AI server clusters.
  • Build and execute automated test suites to validate hardware stability and performance.
  • Create telemetry and monitoring dashboards for large‑scale GPU/AI servers.

Skills

Python scripting
Bash scripting
C++ programming
Analytical problem-solving

Education

Bachelor’s Degree in Computer Science or related fields

Job description

Pegatron Technologies LLC in Austin, TX, is looking for an Associate AI Server Automation Engineer. In this position, you will collaborate with hardware and software teams to develop automation scripts, diagnostic tools, and monitoring software for the AI training clusters. You will play a crucial role in building the infrastructure for generative AI.

The ideal candidate possesses a Bachelor's Degree in Computer Science or related fields and has strong scripting skills in Python, C++, or Bash. This role offers a dynamic environment where you can grow your skills in the AI hardware ecosystem.

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