Industrial edge computers engineered for harsh-environment reliability
OnLogic manufactures configurable industrial computers for IoT and edge deployments in extreme environments. The stack reveals a hardware-first architecture (ARM, x86, FPGA, JTAG, BIOS/UEFI customization) paired with operational databases (PostgreSQL, MySQL, SQL Server, SAP, Oracle) and embedded protocols (MQTT, Zigbee, BLE), indicating deep firmware/hardware integration. Hiring velocity is accelerating with 15 roles posted in the last 30 days, heavily weighted toward senior engineers (10 of 15), suggesting scaling of product development and supply-chain complexity rather than team expansion.
OnLogic designs and manufactures hardened computers for industrial and IoT applications, serving customers across energy, manufacturing, healthcare, transportation, and other sectors requiring operation in extreme temperatures, vibration, dust, and chemical exposure. Systems are built to order with short delivery windows and are engineered for multi-decade lifespans in environments where consumer hardware fails. The company operates globally with 201–500 employees based in South Burlington, Vermont, and has delivered systems to over 70,000 customers. Current focus spans new product lines, supply-chain optimization, validation frameworks, and AI reliability in production deployments.
Firmware and hardware layers: ARM, x86, FPGA, BIOS/UEFI, TPM 2.0, JTAG, U-Boot, MIPI CSI-2. Embedded protocols: MQTT, Zigbee, Bluetooth Low Energy. Databases: PostgreSQL, MySQL, SQL Server, Oracle. Cloud/platform: AWS, Azure. Languages: C++, Python, Verilog, VHDL, Assembly, Bash.
South Burlington, Vermont, United States. All active hiring is in the United States.
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OnLogic'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.