Apptronik is seeking a Senior Perception Learning Engineer to lead research and development of advanced perception systems for their humanoid robots. This role involves designing and optimizing deep learning models for real-time perception tasks, architecting scalable data and inference pipelines, and integrating multi-sensor data for robust autonomy. The position requires a blend of research innovation and practical engineering to deliver deployable, high-performance perception stacks for production robotics platforms.

Staff Perception Hardware Engineer responsible for the physical integration, validation, and scaling of camera, optics, and data link hardware for a humanoid robot. This role involves hands-on troubleshooting, custom module development, ISP tuning, and ensuring high-speed data integrity for perception systems that feed into AI models and real-time control.

Principal Software Engineer to lead development of high-performance embedded AI systems and simulation infrastructure for humanoid robots, focusing on GPU-centric workload orchestration, graphics-driven simulation performance, and robust on-device AI execution. This role involves architecting GPU utilization pipelines, designing schedulers for perception/planning/control models, optimizing latency/throughput/power, improving AI model robustness on embedded devices, leading simulation throughput/realism improvements, and owning low-level system integration on Linux platforms.