Systems Engineer I - Software, Robotics & Semiconductor Automation

ASM • Phoenix, AZ

1d

About The Position

We are seeking a motivated Systems Engineer I to support software-driven automation tools for semiconductor equipment and field-service workflows. This role is ideal for an early-career engineer with strong software fundamentals who is comfortable working close to hardware, robotics, cameras, HMIs, measurement tools, databases, and production/service environments. The engineer will help develop and maintain local applications, diagnostic tools, HMI workflows, data pipelines, automation tools, and supporting software used by engineering, manufacturing, field service, and cleanroom/cleanhouse partners. The ideal candidate has hands-on experience with Python and/or C/C++, user interface development, basic networking, data handling, and troubleshooting systems in lab or deployed environments. This role requires curiosity, attention to detail, clear communication, and the ability to take ownership of assigned technical tasks while learning in a cross-functional engineering environment.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Robotics, Mechatronics, Systems Engineering, or a related technical field.
• Proficiency in Python for application development, automation, scripting, debugging, data handling, or equipment integration.
• Experience with C/C++ or other lower-level programming languages is helpful for debugging, device integration, or performance-critical workflows.
• Experience developing user interfaces, dashboards, diagnostic tools, HMIs, or local software applications.
• Familiarity with JavaScript/TypeScript, HTML, CSS , Python UI frameworks, or similar frontend/HMI technologies.
• Familiarity with backend application logic, APIs/local services, configuration files, logging, error handling, and software testing.
• Familiarity with databases or structured data using SQL, SQLite, JSON, Excel/CSV, NoSQL , or similar tools.
• Basic understanding of networking concepts such as IP addresses, subnets, ports, and local equipment connectivity .
• Strong analytical and problem-solving skills, especially when debugging systems that combine software, hardware, data, and operator workflows.
• Ability to communicate technical information clearly and work effectively in a cross-functional engineering environment.

Nice To Haves

• Exposure to robotics, cameras, sensors, motion systems, measurement devices, machine vision, or industrial equipment is preferred.
• Exposure to AI/ML or data science tools such as scikit-learn, PyTorch, TensorFlow, NumPy, pandas, or similar frameworks is preferred.
• Experience with threading, synchronization, asynchronous programming, event loops, or queue-based UI updates is preferred.
• Experience with software packaging and deployment tools such as PyInstaller, NSIS, virtual environments, PowerShell, Git, GitLab, CI/CD pipelines, or Microsoft Azure is a plus.

Responsibilities

• Develop and maintain software applications, diagnostic tools, and HMI interfaces for semiconductor equipment, lab fixtures, robotic tools, and field-service workflows.
• Build operator-facing workflows that are reliable, readable, and easy to use on PCs, HMIs, tablets, or other equipment-connected interfaces.
• Develop frontend/UI and backend logic using Python GUI frameworks, web UI tools, JavaScript/TypeScript, HTML/CSS, APIs/local services, configuration files, logging, and error handling.
• Integrate software with robots, cameras, sensors, measurement devices, motion systems, and industrial equipment.
• Support basic equipment networking, including setting device IP addresses, understanding subnets, and connecting PCs/HMIs to robots, cameras, and controllers.
• Build responsive application workflows using threading, synchronization, asynchronous execution, or queue-based updates so long-running robot, camera, measurement, or communication tasks do not freeze the HMI/operator interface.
• Support databases and data pipelines for measurement results, equipment records, part data, reports, analytics, model inputs/outputs, and traceability.
• Support data-driven and AI/ML workflows where applicable, including feature extraction, model integration, similarity scoring, quality/health checks, prediction outputs, and engineering analytics.
• Create and maintain scripts, tools, installers, documentation, validation notes, and test procedures needed to support applications in lab, production, or customer-adjacent environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level