Automation Engineer

Pegatron Technologies LLC; Georgetown (TX); On-site; USD 70,000 - 90,000; Full time

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

Position Summary

This Automation Engineer role is ideal for building and maintaining the infrastructure, testing frameworks, and diagnostic tools for our next‑generation AI server platforms. This position is located in Austin, TX, with an

Role Overview

As an Associate AI Server Automation Engineer, you will work closely with hardware and software teams to develop automation scripts, diagnostic tools, and monitoring software for AI training clusters. You will test, deploy, and support the hardware infrastructure that scales generative AI.

Key Responsibilities

• Infrastructure Automation: Develop and maintain Infrastructure‑as‑Code (IaC) and configuration scripts to deploy and manage AI server clusters.
• Test & Diagnostics: Build and execute automated test suites (Python, Bash) to validate hardware stability, power draw, thermal limits, and interconnect performance.
• Fleet Health Tracking: Create telemetry and monitoring dashboards for large‑scale GPU/AI servers to catch and debug hardware or firmware anomalies.
• Server Architecture Support: Assist in troubleshooting, benchmarking, and optimizing enterprise AI servers (with a focus on modern high‑density architectures). [1]
• CI/CD Pipeline Maintenance: Maintain and optimize continuous integration pipelines for firmware and hardware‑level tests.

Qualifications

• Experience: 0–3 years of hands‑on experience in server automation, hardware validation, or systems engineering.
• Programming: Strong scripting and programming skills in Python, C++, or Bash.
• Technical Knowledge: Foundational understanding of Linux/Unix environments, network protocols, and enterprise hardware (GPUs, CPUs, and accelerators).
• Education: Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
• Soft Skills: Strong analytical problem‑solving skills, ability to collaborate with cross‑functional teams, and a desire to learn about the AI hardware ecosystem.