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As a Senior Robotics Software Engineer, you'll develop and maintain robotics software, interface with hardware, and implement motion planning for production-level robotic systems.

Design and maintain robotics software for sensor integration (GNSS, camera, IMU, LiDAR), improve autonomy for row navigation, build on-edge perception and data processing, debug hardware-software issues, and support field deployments and operations documentation.

Research and build efficient ML systems for large-scale LLMs and agentic RL: design algorithms and system techniques, prototype in training/inference stacks, run large-scale experiments, and translate findings into production or publications.

Design, build, and operate end-to-end training and inference infrastructure for large language and multimodal models. Improve efficiency (memory, parallelism, kernel optimizations), ensure robust scalable training and RL pipelines, optimize low-latency/high-throughput serving (quantization, caching, speculative decoding), manage multi-GPU and multi-cloud orchestration, and productionize new algorithms with strong observability and reproducibility.

Lead system-level architecture and integration across mechanical, electrical, and software domains for an autonomous rebar-tying robot. Establish systems engineering practice, write requirements and ICDs, drive hazard analysis and risk assessment, perform trade studies and root-cause investigations, translate field feedback into design changes, and mentor engineers while aligning technical tradeoffs with business priorities.

Lead technology strategy and execution for an AI-first robotics company: own the Manufacturing Language Model, CAD-to-execution platform, real-time vision, and ROS2-based self-programming robotics. Drive data, architectures, sourcing, edge/embedded compute, and scale the engineering and hardware teams across the US and UK to deliver production-ready automation.