Autonomous Systems Software and Data Intern

National Renewable Energy Laboratory; Golden (CO); On-site; USD 35,000 - 56,000; Part time

Benefits offered by this job

Medical, dental, vision insurance

403(b) employer match

Sick leave

Job summary

National Laboratory of the Rockies (NLR) is seeking an undergraduate or graduate intern to help develop digital infrastructure for autonomous semiconductor processing and characterization systems in Golden, CO. You will join a multidisciplinary team to build software enabling closed-loop autonomous experimentation and integration with the METALLIC platform.

Preferred candidates have Python experience, strong problem-solving skills, and the ability to learn rapidly.

Qualifications

• Minimum GPA 3.0.
• Undergraduate: enrolled full-time in a bachelor’s degree program.
• Post Undergraduate: bachelor’s degree earned within past 12 months.
• Graduate: enrolled full-time in a master’s degree program.
• Post Graduate: master’s degree earned within past 12 months.
• Graduate + PhD: enrolled as PhD student.

Responsibilities

• Develop and maintain Python software for instrument control and automation.
• Implement APIs and interfaces connecting distributed instruments.
• Support real-time data exchange and provenance infrastructure.
• Assist with integration, testing, debugging, deployment, and documentation.
• Develop tools for monitoring, logging, and visualization.
• Collaborate with multidisciplinary teams across semiconductor processing, materials science, robotics, and AI.

Skills

Python programming

Git version control

Analytical problem solving

Independent & collaborative work

Effective communication

Learning new technologies

Education

Bachelor’s or Master’s degree in a relevant field

Tools

Python

Job description

National Laboratory of the Rockies (NLR) is seeking an undergraduate or graduate intern to help develop digital infrastructure for autonomous semiconductor processing and characterization systems in Golden, CO. You will join a multidisciplinary team to build software enabling closed-loop autonomous experimentation and integration with the METALLIC platform.

Preferred candidates have Python experience, strong problem-solving skills, and the ability to learn rapidly.