Job Description:

Job Description

We're a small software team embedded within semiconductor manufacturing, focused on transforming how production data is collected, analyzed, and put into action across our sites. Our technology stack is evolving toward Python-centric services, AI/ML-powered analytics, and LLM-driven tools, and we're looking for an engineer to help drive that transformation.
In this role, you'll collaborate closely with test and yield engineers to turn complex manufacturing data into practical, user-friendly systems. Your work will vary from developing data pipelines to prototyping LLM-based solutions that streamline time-consuming analysis. If you enjoy tackling diverse challenges, solving meaningful real-world problems, and seeing your work deployed on the factory floor, this position offers a unique opportunity to make a direct impact.

• Build Python services, APIs, and data pipelines that collect, transform, and deliver semiconductor manufacturing data at scale.
• - Develop and deploy AI/ML models and LLM-based solutions that automate analysis and surface actionable insights for engineers.
• - Design and maintain the data infrastructure (databases, messaging, web platforms) that the team and factory rely on daily.
• - Work directly with end-users - test engineers, yield engineers, process engineers - to understand their problems and ship solutions.
• - Identify and implement automation opportunities with an AI/ML-first mindset.
• - Maintain clear technical documentation so the team can grow without tribal knowledge.

Requirements/Qualifications:

Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Information Systems, Mathematics, or a related field.
- Proficiency in Python - you've built real applications, pipelines, or tooling with it, not just scripts.
- Strong SQL skills including stored procedures and complex queries across relational databases.
- Working familiarity with AI/ML concepts and at least one of: ML frameworks (scikit-learn, PyTorch, TensorFlow), LLM APIs, or AI-assisted
development tools.
- Ability to translate business problems into technical solutions without needing everything spelled out.

Preferred Qualifications
**AI & Data**
- Hands-on experience building or integrating LLM-based solutions (RAG pipelines, prompt engineering, agent frameworks).
- Ability to effectively direct AI coding tools through clear intent and prompt articulation to produce production-quality code.
- Experience with AI/ML model development, evaluation, and deployment in production environments.
- Knowledge of statistics, data mining, or data visualization techniques.

**Infrastructure & DevOps**
- Docker/containerization and container orchestration.
- Event-driven architectures and pub-sub messaging (Redis, Kafka).
- Git, CI/CD pipelines (Azure DevOps, Jenkins), and test-driven development practices.
- Linux/Unix command-line proficiency; web server administration (NGINX) is a plus.

**Domain**
- Familiarity with semiconductor fabrication or testing processes.
- Experience with web front-end technologies (JavaScript, React, Angular).
- Additional languages beyond Python (Java, C#, C/C++).

Travel Time:

No Travel

Physical Attributes:

Bending at Waist, Carrying, Climbing, Crawling, Crouching, Feeling, Foot Controls, Fumes or Odors, Handling, Hearing, Kneeling, Lifting, Other, Piece Work, Pulling, Pushing, Reaching, Seeing, Stooping, Talking, Works Alone, Works Around Others

Physical Requirements:

15% walking, 20% standing, 65% sitting