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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.
The Role
What You Will Do
- Software Development: Build and maintain Linux services, scripts, and tools supporting our edge platform.
- System Provisioning: Help automate the setup and configuration of edge computers and factory-deployed servers.
- Application Deployment: Support packaging, testing, and deployment of applications using containers and virtual machines.
- Industrial Connectors: Implement and test integrations for the industrial communication protocol our customers use, including Modbus TCP/IP, Profinet, OPC UA, CC-Link, and EtherNet/IP. You’ll work through your design with a senior engineer and own the implementation.
- Platform Reliability: Contribute to software updates, logging, monitoring, and recovery capabilities for deployed systems.
- Debugging & Testing: Investigate service failures, networking issues, and resource usage. Develop tests that improve reliability across deployment environments.
- Edge AI Integration: Support the integration and testing of ML inference workloads on edge hardware.
- Cross-Team Collaboration: Work with the senior engineer and broader engineering team to deliver features and resolve platform issues.
- Documentation: Maintain clear setup instructions, technical documentation, and troubleshooting guides.
About You
- High initiative and strong follow-through. You ask thoughtful questions, seek feedback, and take responsibility for your work.
- Ability to learn quickly and work successfully in a fast-paced team environment.
- Excellent communication and teamwork abilities.
- Good hands-on Linux experience, including the command line, permissions, processes, services, package management, and logs.
- Experience programming in a language such as Python, Rust, C++, or Go, and familiarity with shell scripting.
- Understanding of networking fundamentals, including IP addressing, DNS, ports, and TCP/IP.
- Familiarity with Git and a methodical approach to testing and debugging.
- Academic, personal, internship, or professional projects demonstrating your ability to build and troubleshoot working systems.
- Bachelor’s or higher degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience.
- Experience with Docker, virtual machines, systemd, or a personal Linux server is a plus, as is an interest in running ML models locally.
Benefits
- Direct impact on product and culture.
- Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more.
- 401k plan with employer matching
- Equity
- Competitive salary and bonus opportunities.
- Dynamic and inclusive work environment.
- Opportunities for growth and professional development.
- Access to Greentown Labs' extensive network of cleantech startups.
- Transportation benefit for your commute
- A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events
Learn How We Think
- Learn about our startup journey: Our Journey
- How we're combating climate change: AI-Powered Climate Tech
- A customer story: Unilever uses Laminar precision automation to cut time & water usage
Our Interview Process
Skills Required
- Hands-on Linux experience, including command line, permissions, processes, services, package management, and logs
- Programming experience in Python, Rust, C++, or Go
- Familiarity with shell scripting
- Understanding of networking fundamentals, including IP addressing, DNS, ports, and TCP/IP
- Familiarity with Git and a methodical approach to testing and debugging
- Academic, personal, internship, or professional projects demonstrating the ability to build and troubleshoot working systems
- Bachelor's or higher degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent practical experience
- Experience with Docker, virtual machines, systemd, or a personal Linux server
- Interest in running machine learning models locally
- High initiative and strong follow-through
- Ability to learn quickly and work successfully in a fast-paced team environment
- Excellent communication and teamwork abilities
What We Do
Laminar (Formerly H2Ok Innovations) is transforming how food and beverage factories run by using its in-line sensors and turnkey AI solution to unlock lost production time. Laminar’s patented spectral sensors continuously monitor fluid signatures to optimize Clean-In-Place (CIP), product changeovers, and prevent costly errors before they cause downtime. Our AI solution absorbs expert intuition into machine learning models and helps manufacturers instantly run faster, cleaner, and more profitably. Deployed in factories across six continents and trusted by global leaders like AB InBev, Coca-Cola, and Unilever, Laminar is redefining what it means to unlock your faster factory. Learn more about Laminar at runlaminar.com.
