Software Engineer, Verification & Validation

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

Job requirements

Bachelor’s, Master’s, or PhD degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent hands-on industry experience
Strong software engineering fundamentals with proficiency in C, C++, and Python for developing, integrating, debugging, and testing robotic systems
Hands-on experience developing, integrating, testing, or debugging physical robotic or autonomous systems
Broad understanding of robotic systems, including sensing, state estimation, planning, control, communication, compute, and actuation
Experience developing and debugging robotics software using ROS 2 and distributed message-passing architectures
Strong experience working in Linux environments , with familiarity with real-time systems and RT-patched Linux kernels
Proficiency with Git and modern collaborative software development practices, including code review, branching, integration, and regression workflows
Experience diagnosing complex system-level failures where root causes may span software, middleware, networking, compute, sensors, and hardware

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