About this job

Are you ready to do meaningful internship work on technology that is changing how AI systems are built? This team builds the firmware that controls the lasers inside our photonic hardware. This summer you will work on two projects: hardware-in-the-loop (HIL) testing that runs our firmware against real lasers, and research into deploying machine learning on embedded targets to control them. You will write code, run experiments on live hardware, and share your results with the engineers who depend on them.

Responsibilities:

• Build and extend hardware-in-the-loop test setups that run laser firmware against real hardware.
• Write automated test cases that characterize laser behavior and catch firmware regressions.
• Analyze HIL test data and report failures and performance trends to the team.
• Research approaches for deploying machine learning versions of laser control algorithms on embedded targets.
• Prototype an edge ML implementation in C/C++, benchmark it against the existing control algorithms, and present your findings.

Requirements:

• Currently enrolled in a bachelor’s degree program in electrical engineering, computer engineering, computer science, or physics
• Interest in embedded firmware, laser control, and edge machine learning
• Experience developing in C, C++, and/or Python
• Willingness and curiosity to learn from an exciting team!

Preferred Qualifications

• Research, lab, or prior internship experience in photonics, semiconductors, or AI hardware
• Publications, projects, or open-source contributions related to the role