Software Development Engineer - Factory Automation

United States·South Portlandmid

OtherSoftware Development Engineer

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Overview

Change the world. Love your job.TI's MFAB factory in South Portland, Maine, is a cutting‑edge, fully automated semiconductor fab.

Technical Tools

OtherSoftware Development Engineer

~1 min read

→Design & develop end‑to‑end software solutions that automate, monitor, and optimize production equipment and workflows in this modern fab environment.
→Collaborate with site engineers, manufacturing teams, and data scientists to understand domain‑specific requirements and translate them into robust applications.
→Write clean, testable code in modern languages (C#, .NET Core, Python) and leverage a SQL Server back‑end for high‑speed data handling.
→Build, containerize, and orchestrate services using Docker and Kubernetes to support scalable, fault‑tolerant deployments.
→Automate build, test, and release pipelines with the Atlassian suite (Jira, Bitbucket, Confluence) and CI/CD tools (GitHub Actions, Azure DevOps).
→Debug and troubleshoot production issues quickly, applying root‑cause analysis and delivering timely fixes to keep the fab running at peak efficiency.
→Champion best practices in code quality, security, documentation, and continuous improvement across the team.

~1 min read

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science or related field of study
2+ years of relevant professional experience

Development environment – experience developing in languages like C#/.NET, Python and SQL
Domain knowledge - prior work in semiconductor manufacturing, fab automation, or industrial control systems a plus.
Leadership & communication - proven ability to build influential relationships across engineering, manufacturing, and operations; strong written and verbal communication.
Customer‑centric mindset - track record of delivering high‑quality service and taking ownership of issue resolution.
Independent or Small Teams - Ability to work both independently managing project milestones or on small teams with a project lead
AI/ML exposure - familiarity with enterprise AI workflows (e.g., Retrieval‑Augmented Generation, model serving, knowledge‑graph integration) and tools such as Claude, GitHub Copilot, or Azure AI.
Modern development practices - hands‑on experience with Docker, Kubernetes, and micro‑services architecture.
Sense of urgency/speed - to keep pace with the demands of the semiconductor manufacturing factory environment.