Molex Test Automation Engineer

Your Job

Molex is looking for a highly skilled and enthusiastic aspiring Test Automation Engineer to join our team in a full-time role.

This position involves automating design verification test processes using Generative AI and Python, as well as leveraging deep learning techniques for optical line system data-based modeling, monitoring, and fault analysis.

You will play an integral role in advancing our engineering and AI-driven solutions while contributing to high-impact projects.

Our Team

We believe that everyone should be an entrepreneur no matter what role they are in.

As an intern, co-op, or new graduate, there are countless opportunities for you to be challenged, have your voice heard, and gain real experience within our companies.

Sound exciting? Do you want to be a part of meaningful work? Kickstart your career with us by applying today! Our opportunities for internships are in-personnationwide!

What You Will Do

Own the development and deployment of automation pipelines for design verification test processes using Python and Generative AI techniques.

Build and optimize AI-driven workflows to improve testing efficiency and accuracy.

Develop deep learning models for analyzing optical line system data, with a focus on fault prediction, anomaly detection, and performance optimization.

Design and implement monitoring tools for real-time system analytics using data-driven methods.

Collaborate with cross-functional teams to integrate AI solutions into broader system architectures.

Stay updated on advancements in AI, optical systems, and data science to identify opportunities for innovation.

Who You Are (Basic Qualifications)



* Recent/upcoming graduate with Master's or PhD in Computer Science, Electrical Engineering, Data Science, or related fields with a graduation date no later than May 2026.


* Proficiency in Python programming and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.


* Strong understanding of machine learning and deep learning principles.


* Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).


* Knowledge of Generative AI concepts, prompt engineering and tools (e.g., GPT models, transformers).


* Basic understanding of optical communication systems or willingness to learn.


* Strong analytical and problem-solving skills, with a passion for tackling complex challenges.

What Will Put You Ahead



* Self-motivated and capable of leading projects independently.


* Excellent communication and presentation skills.


* High attention to detail and commitment to quality


* Familiarity with DevOps practices and CI/CD pipelines.


* Exposure to optical communication testing tools and methodologies.


* Knowledge of Generative AI applications in engineering workflows

For this role, we anticipate paying $90,000-$110,000.

This role is eligible for variable pay, issued as a monetary bonus or in another form.

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