Senior Software Engineer - Artificial Intelligence and Machine Learning

SR SOFTWARE ENGINEER

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview

The pace of innovation in artificial intelligence and machine learning continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. Our customers are building intelligent systems that redefine how data is processed, analyzed, and used across compute, networking, and cloud infrastructure. At TE Connectivity, we support this evolution by delivering scalable, high-quality software solutions that enable next-generation products.

 

We are looking for a motivated early-career software engineer with a strong interest in AI and ML. This role offers hands-on exposure to real-world engineering problems, collaboration with experienced engineers, and the opportunity to grow technical depth in a fast-moving, data-driven environment.

 

What you will be doing…

As an AI ML Software Engineer, you will work as part of a cross-functional team supporting the development of software tools, models, and infrastructure used in compute, AI, and data communication systems. You will contribute to building, testing, and improving AI ML solutions while learning how these technologies are applied in production environments. This role provides mentorship from senior engineers and opportunities to expand your skills across the full software development lifecycle.

Responsibilities:

1. Software Development and Engineering Support

• Contribute to the development and maintenance of software components used in AI ML workflows.
• Assist in implementing machine learning models, data pipelines, and supporting tools under guidance from senior engineers.
• Write clean, maintainable, and well-documented code following established best practices.
• Support debugging, testing, and performance analysis of software and models.
• Participate in code reviews and incorporate feedback to improve software quality.

 

2. AI ML Model Development and Data Analysis

• Assist in data preparation, feature engineering, and model training activities.
• Support evaluation of model performance using standard metrics and validation techniques.
• Help analyze experimental results and summarize findings for the broader team.
• Learn and apply common ML techniques such as supervised learning, basic deep learning, or statistical modeling.

 

3. Collaboration and Cross Functional Work

• Work closely with software engineers, data scientists, and system architects to understand requirements and use cases.
• Support integration of AI ML components into larger systems and workflows.
• Communicate progress, challenges, and results clearly in team meetings and written updates.
• Contribute to internal documentation and knowledge sharing efforts.

 

4. Learning and Technical Growth

• Stay current with foundational AI ML concepts, tools, and frameworks.
• Participate in technical training, design reviews, and team discussions.
• Take ownership of small projects or tasks to build confidence and technical depth over time.

 

Desired Candidate Profile:

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• 5+ years of relevant experience in software development, AI, ML, or data-focused roles.
• Understanding of machine learning fundamentals and algorithms.
• Experience programming in Python and familiarity with at least one ML framework such as PyTorch, TensorFlow, or scikit learn.
• Familiarity with data structures, algorithms, and basic software engineering principles.
• Exposure to version control systems such as Git.
• Strong problem-solving and analytical skills with attention to detail.
• Clear communicator who works well in a collaborative team environment.
• Self-motivated and eager to learn new technologies with guidance.
• Effective communicator, capable of presenting technical findings and collaborating across teams.

• Ability to spend 10%-25% of your time traveling to customers, conferences, and TE development sites.

What your background should look like

Generally requires Bachelors degree in appropriate field with a minimum of 5 years of progressively responsible professional level experience; Masters degree or higher or local equivalent may be preferred at this level

Competencies

SET : Strategy, Execution, Talent (for managers)

ABOUT TE CONNECTIVITY

TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.

Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).

 

WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

•    Competitive Salary Package
•    Performance-Based Bonus Plans
•    Health and Wellness Incentives
•    Employee Stock Purchase Program
•    Community Outreach Programs / Charity Events
•    Employee Resource Group

 

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.

 

Experience Level

Senior Level