Automation Engineer

Between $80k and $115k Per Year DOE (Depends on Experience) Position range in Williamson County $67k - $141k Per Year Automation Engineer Pegatron Technogies LLC

Occupation:

Computer Systems Engineers/Architects

Location:

Georgetown, TX - 78626

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment

Posted:

06/15/2026 Positions available: 3

Source:

WorkInTexas

Web Site:

WorkInTexas Onsite /

Remote:

Work onsite all of the time

Updated:

06/18/2026

Expires:

07/15/2026 Job #: 17027674 Job Requirements and Properties Help for Job Requirements and Properties. We Hire Vets Employers whose workforce is composed of at least 10 percent military veterans are eligible to receive a "We Hire Vets" employer recognition decal to proudly display on their storefront, an decal. We Hire Ability The We Hire Ability program recognizes Texas employers for their commitment to hiring people with disabilities, and for their efforts to create an inclusive workforce. Work Onsite Full Time Education Bachelor's Degree Experience 12 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Public Transit Available Benefits Help for .

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, 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 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.