Teams at Apptronik

Lead the end-to-end architecture and implementation of Apollo humanoid robot’s compute and sensing hardware. Design NVIDIA Jetson carrier boards, high-speed interfaces, power and thermal systems, sensor integration, synchronization pipelines, diagnostics, redundancy, and functional-safety mechanisms. Drive manufacturability, reliability, roadmap development, technical reviews, and mentorship of electrical and embedded engineers.

Develop and deploy actuator models and low-level controls for humanoid robots. Responsibilities include motor and actuator modeling, torque and current control, system identification, hardware characterization, controller tuning, sim-to-real validation, experiment automation, simulator integration, and hardware bring-up. The role requires strong C++ and Python skills, motor electromechanics expertise, classical control knowledge, and hands-on experience with real robotic hardware.

Develop and deploy machine learning systems for humanoid robot manipulation, covering data collection, annotation, synthetic data generation, model training, simulation, hardware deployment, and fine-tuning. Diagnose vision, calibration, sensor fusion, model, and data bottlenecks to improve reliability. Build real-time robotic software using modern computer vision and deep learning, while mentoring engineers and driving architectural excellence across the robotics organization.