Junior Software Engineer, Edge Platform

For a century, the answer to “what’s in the pipe right now” was a grab sample to a lab with results back hours later. We answer it every second.

Laminar is building human-centric self-driving factories: the ones made of stainless steel pipes and reactors, that make what the world eats, uses, and wears. Proprietary inline sensors read the chemistry in the pipe. Foundation models grounded in physics and chemistry reason about how close the process is to its target. Process control software acts on the answer through the plant’s automation system in real time. Laminar Insights shows what happened, why, and what it saved.

A Laminar line uses about 20% less water and 20% fewer chemicals and runs 15% faster, with quality protected. Productivity and sustainability improve together. We run across six continents at manufacturers like Coca-Cola, Unilever, and AB InBev, backed by tier-1 investors in Physical AI.

We’re a polymathic team of 50 in Somerville: hardware and software engineers, chemists, AI researchers, factory operators, and go-to-market wizards under one roof. Nobody here is waiting to be asked what to do. You’ll see the problem, propose the fix, and own the outcome. We believe in autonomy, ownership, and demanding excellence, and we hold each other to it. If that’s how you want to spend your time, come build the self-driving factory with us.

• 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.

• 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.

• 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