
11 - 50 employees
Founded 2021
🔧 Hardware
🤖 Artificial Intelligence
🤝 B2B
💰 $7M Seed Round - Kodama Systems on 2025-10
Hardware • Artificial Intelligence • B2B
Kodama Systems is a company that builds remote-control and automation systems for the logging industry. Their RS1 product converts conventional skidders into “robo-skidders,” enabling remote operation to address operator shortages, increase production without adding headcount, and add capacity without purchasing more machines. The company positions its technology as field-proven and targeted at commercial logging operations, and highlights real-world deployments and media coverage.
🔥 1 hour ago
Where this job comes from
Posted on Kodama Systems's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Kodama Systems's site. Checked 49 minutes ago.

11 - 50 employees
Founded 2021
🔧 Hardware
🤖 Artificial Intelligence
🤝 B2B
💰 $7M Seed Round - Kodama Systems on 2025-10
Hardware • Artificial Intelligence • B2B
Kodama Systems is a company that builds remote-control and automation systems for the logging industry. Their RS1 product converts conventional skidders into “robo-skidders,” enabling remote operation to address operator shortages, increase production without adding headcount, and add capacity without purchasing more machines. The company positions its technology as field-proven and targeted at commercial logging operations, and highlights real-world deployments and media coverage.
• Own system-level architecture and safety engineering of Kodama’s teleoperated and autonomous platform, from individual machines to multi-machine fleets • Define system behavior across hardware, software, networking, controls, autonomy, human operators, and field operations • Strengthen requirements, safety analyses, and verification as the platform evolves • Own how the platform detects, manages, and recovers from faults and degraded conditions • Translate requirements and analyses into concrete engineering work • Define system-level functional, performance, and fault behavior requirements • Develop subsystem requirements with hardware and software engineers • Own hazard analyses, FMEAs, and fault trees • Define platform, operator, and operating-procedure responses to failures or degraded behavior • Lead next-generation architecture, trade studies, and requirements for safety-critical control systems • Address safety controllers, E-stops, and human-to-machine and machine-to-machine interaction • Translate system and safety requirements into actionable engineering work, verification strategies, and deployment evidence • Apply relevant safety standards, including BS EN 17067:2018, BS EN 62745:2017, and ISO 17757:2019 • Serve as a technical resource to customers, OEM partners, and external stakeholders on system architecture and safety design • Travel to customer sites to develop firsthand understanding of machines, customers, and operating environments
• BS or advanced degree in electrical, mechanical, systems, or a related engineering field, or 10+ years of systems engineering or equivalent practical experience • Significant experience designing or integrating complex, safety-critical electromechanical or distributed systems • Ability to reason across hardware, software, networking, controls, and physical-machine behavior • Experience writing clear, testable system requirements and interfaces • Experience applying system or functional safety methods through design, integration, and verification • Experience with multi-machine systems, such as fleet management, one operator controlling multiple machines, or networking that scales across machines and sites • Experience right-sizing systems engineering and safety processes for a fast-moving team • Ability to communicate technical tradeoffs clearly to engineers, customers, and partners • Ability to lead cross-disciplinary technical decisions through influence and judgment • Willingness to get hands-on with debugging, data, and machine testing when needed • Experience in several especially relevant areas may be valuable, including autonomous vehicles, mobile robotics, heavy equipment, defense, safety-critical cyber-physical systems, functional safety standards, safety certification, teleoperation, distributed robotics, real-time networking, embedded systems, safety controllers, PLCs, CAN/J1939, hardware-in-the-loop testing, fault injection, robotics perception, localization, planning, control, autonomy safety, machine-learning validation, Python or equivalent, human factors, operator interface design, human-machine interaction, and off-road or unstructured operating environments
• Approximately 10–20% travel to customer sites • Remote work within the United States
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