Intern, Product Intelligence Engineering (AI/ML)

ASM • Phoenix, AZ

2d

About The Position

ASM is seeking a motivated Product Intelligence Engineering Intern to help develop AI/ML analytics applications for semiconductor manufacturing. The internship provides hands-on experience building software for advanced manufacturing environments while working alongside experienced engineers. The intern will contribute to real development projects, learn how scalable backend systems are designed and tested, and gain exposure to the full software development lifecycle. Technologies may include Go, Python, PostgreSQL, Kafka, Redis, gRPC, Linux, and containerized applications. The intern will receive mentorship and guidance while taking ownership of a defined project or set of technical deliverables.

The internship includes developing backend services and applications, working with large-scale telemetry and manufacturing equipment data, and collaborating with software, product, field, and engineering teams. Interns will document their technical approach, testing, and outcomes, and present their project and key learnings to the team at the conclusion of the internship. Depending on project and business needs, they may have opportunities to interact with field teams or visit relevant facilities. Interns must follow applicable confidentiality, information-security, and export-control requirements for projects involving secure manufacturing environments.

Requirements

• Currently pursuing a bachelor's, master's, or PhD degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field.
• Programming experience gained through coursework, research, personal projects, previous internships, or similar hands-on work.
• Experience with or interest in learning Go and/or Python.
• Understanding of software development fundamentals, including data structures, algorithms, APIs, databases, and version control.
• Strong problem-solving skills and willingness to learn new technologies.
• Ability to collaborate with engineers and communicate technical ideas clearly.
• Curiosity, initiative, and interest in taking ownership of a meaningful technical project.

Nice To Haves

• Familiarity with Linux and database technologies such as PostgreSQL.
• Coursework, research, or project experience involving AI/ML applications.
• Exposure to Go, Python, PostgreSQL, gRPC, Kafka, Redis, Docker, C#, or C++.
• Experience with cloud, containerized, distributed, or data-intensive applications.
• Familiarity with React, TypeScript, or JavaScript.
• Experience working with time-series or high-volume datasets.
• Exposure to or interest in semiconductor manufacturing, advanced manufacturing, or engineering technology.
• Previous technical internship, research, lab, or software project experience.

Responsibilities

• Contribute to the design, development, and testing of backend services for the AI/ML analytics platform.
• Complete a defined internship project with meaningful technical deliverables and business impact.
• Write clean, reliable, well-tested code with guidance and feedback from experienced engineers.
• Work with large-scale telemetry and manufacturing equipment data.
• Assist in developing and improving APIs, data pipelines, backend services, and application functionality.
• Participate in code reviews, technical discussions, testing, and troubleshooting.
• Learn how software is developed and deployed in secure semiconductor manufacturing environments.
• Collaborate with software, product, field, and engineering teams to understand requirements and develop technical solutions.
• Document work, technical approach, testing, and project outcomes.
• Present the internship project, key learnings, and results to the team at the end of the internship.
• Follow applicable confidentiality, information-security, and export-control requirements.
• Depending on project and business needs, interact with field teams or visit relevant facilities.

Benefits

• Hands-on experience developing software for real-world semiconductor manufacturing applications.
• Exposure to software engineering, AI/ML, data analytics, and semiconductor technology.
• Practical experience with modern backend technologies and large-scale data.
• Mentorship and technical guidance from experienced engineers.
• Experience collaborating within a multidisciplinary engineering environment.
• A defined technical project applying academic knowledge to a real engineering challenge.
• Opportunity to present work and accomplishments at the end of the internship.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed