Code Generation Strategy: Drive the adoption of automated code generation (e.g., Python-based scripts to generate PLC/HMI code from standardized excel spreadsheets or piping and instrumentation diagrams).
Library & Template Management: Manage the enterprise library of reusable control objects (UDFBs, Faceplates, Drivers) to ensure a high level of code modularity, reliability, and maintenance.
DevOps Integration for OT: Adapt DevOps principles to the industrial space by implementing automated testing, continuous integration, and version control (Git-based workflows) for PLC and HMI software assets.
Interoperability Architecture: Develop middleware or API-based connectors that allow disparate control software platforms to communicate with corporate ERP, MES, and PLM systems.
Technical Consulting: Act as an internal consultant for engineering teams to troubleshoot complex integration issues and advise on architectural decisions during the project lifecycle.
Standardization: Define and document technical requirements for software development that satisfy safety, cybersecurity, and regulatory compliance requirements.
What You Will Bring
Education: Bachelor’s or Master’s Degree in Software Engineering, Computer Science, or Electrical/Controls Engineering.
Experience: 8+ years of experience, with a proven track record of developing custom software solutions for industrial automation or software engineering environments.
Core Technical Skills
Automation: Expert-level knowledge of PLC/HMI/SCADA environments (e.g., Rockwell, Siemens, GE/Emerson).
Scripting/Development: Proficiency in Python, C#, or PowerShell for automating engineering tasks and building custom integration tools.
Architecture: Deep understanding of Object-Oriented Programming (OOP) and how to apply those principles to industrial logic.
Version Control: Expert-level experience with Git, including branching strategies, pull requests, and CI/CD pipeline configuration.
Systems Thinking: Ability to see the "big picture" of the engineering workflow and identify bottlenecks that can be solved through software automation.
Preferred Qualifications
Experience with Model-Based Systems Engineering (MBSE) or digital twin integration.
Experience in developing internal SDKs, APIs, or developer-facing documentation for engineering teams.
Familiarity with cloud-native development and how to bridge industrial data to the cloud.
Background in UI/UX design concepts to improve the usability of internal engineering tools.
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Referral program
- Vision insurance
- Short/Long Term Disability
