Sensor Characterization Co-Op

Job description

Machines learned to understand language. We’re teaching them to understand matter. Forty percent of global manufacturing happens through physical and chemical processes inside pipes, tanks, and reactors. Despite decades of industrial automation, much of what happens inside them remains remarkably invisible. Manufacturing is the most ubiquitous and foundational sector in global economy, yet the way factories are fundamentally run have used the same control philosophies, manual operations, and legacy software for the past 60 years. Laminar deploys state-of-the-art patented sensors and edge hardware directly into live production environments, generating data that didn’t previously exist to build foundation models deployed in factory floors that understand chemistry, composition, quality, and material state in real time. We use that understanding to run autonomy and rethink how things are made. The last generation of industrial automation taught machines to execute instructions reliably. The next will teach them to understand the processes they control and run autonomously, adaptively, and agentically: higher quality, safety, more efficiently, sustainably, and productively. That future is already taking shape. Today, Laminar works with 7 of the world’s 10 largest food and beverage manufacturers and operates across hundreds of factories globally across six continents. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. Our technology has gained international recognition, from being selected as a 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, to Innovator Awards by both Coca-Cola and AB InBev, and more. We are backed by tier-one investors in physical AI to make intelligent, self-improving production the new standard for industry. Join us to build what makes matter intelligible, and the intelligible controllable. We are seeking a motivated Software Engineering Intern to join our team and contribute to developing cutting-edge IoT devices. The role will work cross-functionally and integrate projects into the greater product scheme picture. What You Will Do Collaborate with our sensor R&D team to design testing procedures, carry out tests, and analyze data to characterize new sensor performance Support customer-driven use-case exploration, running material fingerprinting and concentration tests, analyzing data and building customer-facing slides Prepare samples at known concentrations, serial dilutions and emulsifications following lab-safety protocols Use statistical methods to calculate LODs for industrially relevant chemicals Focus on experiment reproducibility by maintaining a lab notebook, writing and refining Standard Operating Procedures, and organizing raw data for future comparison Design, test and refine calibration procedures for the new sensing stack About You Degree or pursuing a degree in Chemistry, Physics, Engineering or a related field Detail-oriented and able to follow (and constructively critique) experimental procedure Willingness to get your hands dirty on a wide variety of engineering and technician tasks to help us build better sensors and solve bigger problemsRequired Coursework or experience in chemistry, physics, optical engineering, or a related field Comfort with hands-on lab work and running structured experiments Statistics and data analysis skills (Python, MATLAB, or similar) Preferred Familiarity with spectroscopy and electrical impedance measurement is a plus but not required Benefits Dynamic and inclusive work environment Opportunities for growth and professional development Access to Greentown Labs extensive network of cleantech startups Learn How We Think Learn about our startup journey: Our Journey How we're combating climate change: AI-Powered Climate Tech A customer story: Ben & Jerry's uses H2Ok's precision automation to cut time & water usage