Enterprise systems delivery without the turbulence. Backed by Techstars.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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 problems Required
- 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)
More about this role
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...
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