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. We're looking for a driven Software Engineer, Edge Platform to help build the software infrastructure behind Laminar's edge computing platform. Working closely with our Senior Edge Platform Engineer, you'll develop Linux-based software, automate system setup, and improve how applications are deployed and managed on edge devices and factory servers. We value engineers who are curious about how systems work, take initiative, and follow problems through to a working solution. You'll take ownership of well-defined components while building the skills to tackle increasingly complex engineering challenges. 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. 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 $91,000 - $121,000 a year Our pay ranges are established per Pave Compensation Software. We're also proud to offer equity in our fast-growing startup and one of the most comprehensive benefits packages among startups at our stage. Laminar pays 100% of the individual health insurance premium for HMO medical, vision, and dental, offers flexible PTO, a $90/month transportation benefit, a $65/month health and wellness benefit, FSA, 12 company-paid holidays, an employer-matching 401(k) (unheard of at this stage!), and Greentown Labs membership, among other valuable resources. (*subject to change) Why You'll Love it Here A front-row seat at Greentown Labs, North America's largest cleantech innovation hub, in a Somerville neighborhood ranked one of the coolest in the world Real recognition: 2026 World Economic Forum Technology Pioneer, Gold 2026 Edison Award, Unilever Startup of the Year, Innovator Awards by both Coca-Cola and ABInBev, and more A team that celebrates together from rooftop lunches, ping pong matches, Lunch & Learns, and regular team events Competitive salary, equity, and a 401(k) with company match Health, dental, and vision coverage, plus short- and long-term disability and life insurance Flexible time off and 12 company-paid holidays A conference and learning budget to keep growing your craft Greentown Labs membership and a transportation benefit for your commute Our Interview Process

1. Phone screen with Laminar Head of Ops or Recruiter (15-20 minutes)
2. Intro call with Hiring Manager (30 minutes)
3. On-site interview, including short tour of GTL, overview of tech, and interview/presentation with the Hiring Manager and a few team members. Depending on the role, a skills exercise that should take no longer than an hour to prep, would be sent ahead of time. We record your skills exercise to share with any team members who could not join the interview and/or with Founder's ahead of their Founder's Interview. If you are not local, we can conduct this virtually.
4. Finalists for Full-Time positions will have a Founder's Interview in-person

Final steps: Two professional references are requested, ideally one from your current organization and one who served as your Manager If an Offer Letter is extended, a Background check is conducted A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Laminar (formerly H2Ok) is committed to building a diverse and inclusive team. So, to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply! If you're ready to play a key role in scaling a game-changing company that's transforming the industrial sector and advancing sustainability, we want to hear from you! * We recently updated our domain to runlaminar.com. Please ensure you add the runlaminar.com domain to your safe senders list to ensure you receive our communications. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Laminar LLC