Junior Software Engineer, Edge Platform

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. 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. Our systems have materially reduced waste, cut manufacturing downtime, saved water, chemicals, energy, and helped prevent safety and quality failures. 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 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 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 Phone screen with Laminar HR/Recruiter (15-20 minutes) Intro call with Hiring Manager (30 minutes) On‑site interview, 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 Found's ahead of their Found's Interview. If you are not local, we can conduct this virtually 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 Laminar is committed to building a diverse and inclusive team. Even if you are unsure you are 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. 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. 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) #J-18808-Ljbffr Laminar