Edge AI hardware and management software for industrial IoT and unmanned systems
Lantronix is a public company building Edge AI hardware, embedded compute modules, and remote management software for industrial IoT, smart-city infrastructure, and unmanned systems (commercial and defense). The hiring mix is heavily weighted toward sales (9 of 17 active roles) with most at senior level—paired with projects centered on OEM design wins and drone/robotics vertical expansion—indicating a land-and-expand playbook in a capital-intensive hardware market. Tech stack spans embedded platforms (Pixhawk, PX4, ArduPilot), cloud (Azure, AWS), and enterprise software (SAP, Oracle, IFS), reflecting a portfolio that connects edge devices to centralized operations.
Lantronix develops intelligent computing hardware, software, and remote-management solutions for mission-critical applications in industrial and defense sectors. The company serves three primary markets: smart-city infrastructure, enterprise IT (particularly out-of-band network management), and unmanned systems (drones and robotics for both commercial and defense use). Product portfolio spans hardware modules (system-on-modules with embedded AI), secure video and sensor platforms, utility-infrastructure software, and data-center management tools. The company is public and operates from Irvine, California, with a workforce of 201–500 employees focused on design-win acquisition and vertical revenue scaling.
Lantronix uses embedded flight-control platforms (Pixhawk, PX4, ArduPilot), cloud infrastructure (Azure, AWS), analytics (Power BI, Splunk), enterprise software (SAP, Oracle, IFS, Salesforce), security tools (SentinelOne, CrowdStrike, Fortinet), and development languages (Python, PowerShell, Bash).
Active projects include OEM design wins in drone and robotics, proving out integrations between Lantronix system-on-modules and drone flight-control stacks, competitive analysis of drone compute platforms, territory planning, and inventory management.
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Lantronix's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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