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Robotics Software Engineer

Scout AI·Worldwide·Sunnyvale, CA·mid
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The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work. The Role We’re looking for a Robotics Software Engineer to design and build the software that powers intelligent robotic systems. You’ll work on perception, autonomy, control systems, and infrastructure that allow robots to operate reliably in complex environments. This role is ideal for engineers who enjoy solving real-world problems at the intersection of robotics, AI, and scalable software systems. Your work will run on robots in complex, adversarial environments. Expect to move fast, test ideas aggressively, and break new ground as we create the first robotic foundation model for defense. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense. Responsibilities Design and deploy software for advanced drone hardware, promoting autonomous flight capabilities and delivery operations Develop software for robotic perception, planning, and control Develop dynamic memory, communication, and tool use faculties for AI agents Build and maintain robotics infrastructure, simulation, and testing environments Integrate sensors such as cameras, LiDAR, and IMUs into robotic systems Implement and optimize algorithms for localization, mapping, and navigation Work on autonomy pipelines from perception to action Collaborate with hardware, AI, and product teams to ship robotic capabilities Improve system reliability, performance, and real-world robustness Con