Job Overview

Join TE Connectivity's innovative Active Electric Cables Development organization as a Senior Software Engineer and help develop the software platforms, automation systems, and data-driven solutions that enable the next generation of active electric/optical connectivity products powering AI/data centers and wireless infrastructure. You'll solve complex challenges at the intersection of software, automation, manufacturing, and photonics while creating tools that accelerate product development and scale advanced manufacturing operations.

**THIS POSITION IS 100% ON-SITE AT THEIR MIDDLETOWN,PA FACILITY**

Why This Role Matters
As AI and cloud infrastructure continue driving unprecedented demand for active electric/optical interconnect solutions, sophisticated software systems have become essential to product development, manufacturing automation, data analysis, and quality assurance. You'll play a critical role in developing the applications, automation frameworks, and test platforms that enable TE to deliver industry-leading active electric/optical connectivity solutions at scale.

Job Requirements

What You'll Engineer

Software Development & Automation
•    Engineering Software Solutions: Design, develop, and maintain software applications supporting Active Electric Cable/Active Copper Cable/Optical product development, manufacturing process development, testing, and automation initiatives.
•    Automation Platforms: Develop software for automated assembly systems, machine vision applications, robotics, motion control systems, and data acquisition platforms.
•    Data Systems & Analytics: Create applications and dashboards that collect, manage, visualize, and analyze manufacturing, test, and product performance data.
•    System Integration: Integrate software with laboratory equipment, industrial automation platforms, databases, vision systems, and enterprise applications.

Product Development & Manufacturing
•    Test System Development: Design and implement software solutions for product validation, automated testing, data logging, and performance characterization.
•    Manufacturing Software Support: Develop applications that improve process control, equipment efficiency, traceability, and manufacturing quality.
•    Cross-functional Collaboration: Work closely with optical, mechanical, electrical, process development, manufacturing, signal integrity and quality engineering teams to deliver integrated solutions that meet business and technical objectives.
•    Documentation: Develop software requirements, architecture documentation, validation protocols, user guides, technical specifications, and support documentation for deployed systems.

What your background should look like

Essential Qualifications
•    Education: BS or higher in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field. Master’s degree preferred.
•    Experience: Minimum of 5- 8  years of experience developing software applications, automation solutions, industrial software, or engineering systems.
•    Programming Skills: Strong proficiency in one or more modern programming languages such as Python, React, C#, C++, Java or similar.
•    Software Development Practices: Experience with version control systems such as Git (CLI), GitHub, GitLab, software testing, debugging, CI/CD pipelines, Jenkins, Jira and Confluence using Agile Software Development Lifecycle management.

Core Technical Competencies
•    Application Development: Experience developing desktop, web-based, or engineering software applications.
•    Automation & Equipment Integration: Knowledge of industrial automation systems, BER Test equipment, manufacturing equipment integration.
•    Data Management: Experience working with databases, SQL, data acquisition systems, data analytics, and reporting tools.
•    Software Architecture: Understanding of object-oriented programming, software design principles, API development, and system integration methodologies.
•    Test & Validation: Experience developing automated test platforms, validation tools, and software verification methodologies.

Preferred Qualifications
•    Experience developing customized software applications, automated test dashboards, and real-time visualization systems using Python and React frameworks
•    Experience with Automation frameworks such as PyTest, Hardware-in-the-loop testing and lab automation using BERTs, VNA, Pattern Generators, Power supplies
•    Experience designing and developing RESTful APIs and web services with heavy focus on UI/UX modernization
•    Strong understanding and experience with Data Analytics that includes log parsing, telemetry processing, performance dashboards, failure trend analysis, and predictive quality monitoring
•    Experience with Software Testing methodologies that include Unit testing, Sanity testing, Regression testing, System testing, Interoperability testing and Performance testing 
•    Knowledge of interconnect technologies such as Active Electric Cable, Active Copper Cable, Active Optical Cable. 
•    Knowledge of Signal Integrity fundamentals such as Bit Error Rate (BER), Crosstalk, Channel loss, Equalization techniques, Jitter analysis, PAM4/NRZ Signaling
•    Knowledge of Re-timer/Re-driver, CMIS management protocols, EEPROM firmware
•    Experience with AI assisted test generation, defect prediction, automated log analysis, LLM integration, and Agentic-AI based tools

Professional Skills
•    Problem Solving: Strong analytical and creative approach to solving complex technical challenges involving software, equipment, and manufacturing systems.
•    Communication: Ability to communicate technical concepts effectively to software developers, engineers, technicians, and business stakeholders.
•    Project Management: Experience managing multiple software development initiatives with competing priorities and deadlines.
•    Continuous Learning: Passion for learning emerging technologies, automation tools, software frameworks, and advanced manufacturing systems. Individuals must be highly motivated, quick learners and able to work independently as well as in cross-functional teams’ environment.
•    Global Environment: Ability to work in a global environment – able to accommodate varying time zones, fluent in English (verbal and written communication), able to collaborate with individuals across geographies.

Competencies