Senior Systems Research Engineer – Embodied AI & Robotics
Core
Design and integrate embodied AI applications at the intersection of AI/ML and robotics, ensuring seamless deployment into high-quality, reliable product development.
Role type
Senior Systems Research Engineer (Embodied AI & Robotics)
Builds
Robust data pipelines, real-time systems for sensor fusion, perception, and robotic control; edge AI solutions for embedded platforms.
Domain
Robotics, Embodied AI, Embedded Systems, Medical Devices
Deliverable
production ML models
Required skills
Embedded systems software development, C/C++/Python/Matlab, Industrial embedded OS (QNX/Yocto), CUDA programming, Machine learning frameworks (PyTorch/TensorFlow), Robotics (motion control/perception/sensor fusion), Model optimization for embedded platforms
Preferred skills
Advanced degrees in CS/Engineering, Experience in R&D/innovation environments
Technologies
QNX, Yocto, CUDA, PyTorch, TensorFlow
Responsibilities
Design and optimize software interfaces between subsystems (edge AI, firmware, OS, hardware, cloud); Architect and build robust data pipelines and real-time systems for sensor fusion and robotic control; Lead complex, end-to-end embodied intelligence projects and define strategic roadmaps; Partner cross-functionally with motion controls, perception, and hardware teams; Refine designs by balancing technical feasibility with schedules and resource constraints.
Seniority
Senior, hands-on IC
