Engineer I-Software

Microchip Technology Inc. • Chandler, AZ

6d • Onsite

About The Position

We are seeking a motivated and passionate entry level Full Stack Software Engineer to join our growing engineering team. This role is ideal for recent graduates who have a strong foundation in web development and a keen interest in AI/ML technologies. You will work on building scalable web applications, developing APIs, and contributing to AI-powered features under the guidance of senior engineers.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (recent graduate).
• Strong fundamentals in JavaScript, HTML, CSS, and at least one backend language (Python, .Net, or Node.js).
• Hands-on experience with at least one modern frontend framework (React preferred).
• Basic understanding of REST APIs and microservices architecture.
• Familiarity with SQL (PostgreSQL/MySQL) and/or NoSQL (MongoDB) databases.
• Exposure to machine learning concepts such as regression, classification, and model evaluation.
• Experience using Python libraries such as TensorFlow, PyTorch or similar (academic or project-based).
• Understanding of Git and collaborative development workflows.

Nice To Haves

• Internship or project experience building full stack applications.
• Experience deploying applications on cloud platforms (AWS, GCP, or Azure).
• Knowledge of Docker and CI/CD pipelines.
• Familiarity with MLOps concepts (model versioning, inference APIs, monitoring).
• Experience working with LLM APIs (OpenAI, Hugging Face, etc.).

Responsibilities

• Design, develop, test, and maintain full stack web applications (frontend and backend).
• Build responsive user interfaces using modern JavaScript frameworks (React, Angular, or Vue).
• Develop and maintain backend services and REST/GraphQL APIs using Node.js, Python, or .Net.
• Work with databases (SQL and NoSQL) for data modeling, queries, and performance optimization.
• Integrate and consume AI/ML models for features such as recommendations, classification, or analytics.
• Assist in training, evaluating, and deploying basic machine learning models.
• Collaborate with data scientists and ML engineers to implement model pipelines and inference services.
• Write clean, well-documented, and testable code.
• Participate in code reviews, sprint planning, and agile ceremonies.
• Troubleshoot, debug, and optimize application performance.

Benefits

• Mentorship from senior full stack and AI engineers.
• Real-world experience building production-grade applications.
• Opportunity to work on AI-driven features and model integration.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level