Contract Trainer in Controlling and Business Intelligence
WBS TrainingPart-time freelance trainer at WBS Training, teaching Controlling and Business Intelligence. Deliver practical instruction in Power BI and AI tools from a home office.
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Orca AI develops artificial intelligence and computer vision systems for the maritime, transport, and logistics industries. Its SeaPod and FleetView products support autonomous shipping by improving crew situational awareness, automating lookout functions, and delivering real-time operational insights. The company focuses on helping shipping operators make safer navigational decisions, improve efficiency, and advance more sustainable maritime operations.
Senior Robotics Software Engineer, Autonomy Runtime and Integration — Israel Hybrid
Build ROS2 and modern C++ autonomy runtime infrastructure for Orca AI’s maritime defense systems. Integrate vessel interfaces, embedded deployments, simulation, and reliability workflows for sea trials.
Description
- Lead the autonomy runtime across ROS2 and modern C++, covering architecture, module lifecycles, orchestration, state management, data flow, configuration, fault handling, and recovery.
- Develop World Model ingestion and Vehicle Interface adapters for platform control systems.
- Manage software deployment to vessel computers, including builds, packaging, versioning, configuration management, and continuous integration.
- Partner with systems engineering and field teams on vessel bring-up, sea trials, and on-site debugging.
- Create logging, recording, replay, and observability tools that enable desk-based reproduction of sea runs.
- Integrate and maintain the software-in-the-loop simulation environment.
- Ensure stack reliability, timing, and performance on embedded hardware.
Requirements
- At least five years of software engineering experience in robotics or autonomous systems.
- Advanced knowledge of ROS2.
- Proficiency in modern C++.
- Experience developing real-time and concurrent systems.
- Demonstrated experience building infrastructure for autonomous systems.
- Hands-on experience integrating vehicle platforms or low-level control interfaces.
- Experience integrating simulation systems and implementing automated robotics tests.
- A practical, field-oriented approach to engineering.
- Preferred: experience with maritime platforms, marine autopilots, or NMEA, AIS, and radar interfaces.
- Preferred: experience making autonomy stacks portable across multiple vehicle platforms.
- Preferred: experience designing HIL benches and conducting hardware-in-the-loop validation.
- Preferred: experience with robotics observability and data tooling.
- Preferred: experience in defense or other regulated programs.
Benefits
- Remote and hybrid work arrangements.
- Work on autonomous, AI-driven maritime systems for defense and government operators.
- Participation in vessel sea trials and field operations.
- High-impact work focused on advanced autonomy and robotics.
- Build an autonomous vessel software layer from the ground up.
- Own core infrastructure for a new product.
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