What are the responsibilities and job description for the Software Engineering Intern position at HyperLight?
Software Engineering Intern
HyperLight is at forefront in commercialization of thin-film lithium niobate (TFLN) integrated photonics - a material and process technology that is enabling high-performance, scalable optical components across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond. Founded in 2018 and backed by leading venture capital, we’ve built a team and a platform focused on real-world mass deployment of TFLN photonics technology.
At the core of our work is the TFLN Chiplet™ platform — a modular, integrated architecture designed for scalability, manufacturability, and seamless integration into complex systems. It offers a rare combination of extraordinary performance and industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology.
We believe our platform is the key, in the golden age of integrated photonics, to empower humanity to the next level. We assembled a world class team covering engineering, business and operations. We believe in the power of integrity, innovation, collaboration and pragmatic solutions. Our diverse team thrives on challenges and is united by a shared commitment to excellence. We take pride in tackling complex challenges with curiosity, humility, and a deep sense of care for one another.
Our growing team is looking for a Software Engineering Intern to join our team. This position offers a unique opportunity to contribute to data infrastructure and analytics efforts that support product design, testing, and manufacturing. The role involves hands-on experience working with structured and unstructured data, building data pipelines, analyzing complex datasets, and applying machine learning to improve operational efficiency.
This is a rare opportunity to apply your data and software skills in a rapidly advancing field and gain exposure to the development cycle of next-generation photonic technologies.
Join us to make a real-world impact in a fast-paced, collaborative and high-growth environment.
We provide:
- Market competitive compensation.
- Comprehensive Health Coverage: family and individual plans, vision, dental.
- 401(k) Retirement plans with employee matching.
- Life and disability insurance.
- Flexible hybrid or remote work and vacation policies.
- Commuter Benefits and Subsidy.
- Challenging and practical projects focusing on AI using Python and latest related technologies.
- Hands-on experience with modern tools in data engineering, analytics, and visualizations.
- Real-world impact in photonic product development and manufacturing.
- Mentorship and collaboration with leading experts in photonics, data science, and software engineering
Responsibilities:
- Develop and build an AI project with a real use-case.
- Design, maintain, and optimize relational and non-relational databases.
- Develop and improve Python tools for data cleaning, ingestion, processing and transformation.
- Analyze large experimental datasets to extract insights and identify trends or anomalies.
- Build and enhance interactive dashboards for visualizing real-world production data.
- Collaborate with cross-functional teams to understand data needs and deliver analytics solutions.
Requirements:
- Current Ph.D., Master’s or Bachelor’s student in Data Science, Physics, Computer Science, Electrical Engineering, or a related field.
- Mastery of data structures and algorithms especially graph theory is a big plus.
- Familiarity with database systems and proficiency in SQL.
- Proficiency in Python for data manipulation, automation, and analysis (e.g., using pandas, NumPy, scikit-learn).
- Understanding of core database and machine learning concepts.
- Experience with data pipeline tools, schema migration frameworks, or backend infrastructure is a plus.
- Experience with LLMs and vector databases is a plus.
- Experience with data visualization tools (e.g., matplotlib, seaborn) is a plus.
- Experience with cloud platforms such as AWS is a plus.
- Excellent written and oral communication skills.
- Self-motivated, collaborative, and eager to learn in a dynamic environment
Duration and Location:
- This is a 12-week, full-time internship during the summer. (Year-long internship also available.)
- The position is based in Cambridge, MA and is in-person only.
- Authorization to work in the U.S. is required.
HyperLight is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.