Automation Engineer

Location: Georgetown, TX

• 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.

• 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.