Industrial control systems for generators, transfer switches, and off-highway vehicles
Deep Sea Electronics designs and manufactures specialized control modules for power generation and vehicle systems—generator controls, automatic transfer switches, battery chargers, and off-highway electronics. The company is modernizing its embedded stack: adopting industrial protocols (Modbus, CANopen, Ethernet/IP, OPC UA) while maintaining safety-critical tooling (MISRA C/C++, IEC 61508, ISO 26262). Current hiring focuses heavily on engineering (44% of open roles) with active recruitment for a Head of Engineering, signaling investment in product architecture and compliance maturity.
Notable leadership hires: Head of Engineering
Deep Sea Electronics has manufactured engine and generator control solutions since 1975, operating from a 15,000 sq ft facility in Hunmanby, North Yorkshire where all products are designed and built in-house. The product suite spans generator control modules, automatic transfer switch controllers, 12V/24V battery chargers, and off-highway vehicle control systems—sold globally through regional offices in North America, Dubai, and India. The company employs 201–500 people and maintains an internal production environment with automated surface mount lines and testing equipment. Core customers are industrial OEMs, power systems integrators, and mobile equipment manufacturers requiring UL, IEC, and BS-certified control solutions.
Embedded: C/C++, ARM, RTOS, Yocto. Industrial protocols: Modbus, CANopen, Ethernet/IP, OPC UA, Modbus. Safety/compliance: MISRA C/C++, IEC 61508, ISO 26262. Engineering tools: Altium, OrCAD, CADstar, Jenkins, Jira. Enterprise: SAP, Epicor ERP, Salesforce, Power BI.
Currently adopting Modbus, CANopen, Ethernet/IP, and OPC UA for industrial automation and control. Also supports RS-232, RS-485, and CANopen for legacy and embedded systems. Implements IEC 61508 and ISO 26262 for functional safety compliance.
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Deep Sea Electronics Ltd'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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