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Salary
$91k – $121k per year
Location
Hybrid (Somerville, United States)
Seniority
Junior
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 24, 2026. Laminar scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Laminar uses science-led AI and in-line spectral sensors to optimize clean-in-place, product changeovers, and line performance for food, beverage, and CPG manufacturers.

We’relooking for a driven Software Engineer, Edge Platformto help build the software infrastructure behind Laminar’sedge computing platform. Working closely with our Senior Edge Platform Engineer, you’lldevelop 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’lltake 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’llwork through your design with a senior engineer and own the implementation.

    • Platform Reliability:Contribute tosoftware 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:Maintainclear 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 ofnetworking 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 demonstratingyour 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.

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