Robot Perception Engineer
Rhoda AI - Palo Alto, California, United States
Posted May 14, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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About this role
Robot Perception Engineer Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Robot Perception Engineer to develop and maintain the perception systems that give our humanoid robots a real-time understanding of the world around them. You'll own the software that transforms raw sensor data into reliable, actionable perception - from sensor integration and calibration to safety-certified object detection and streaming data to our foundation models and teleoperation stack. What You'll Do - Develop and maintain real-time perception pipelines - integrating and calibrating sensors (cameras, LiDAR, IMUs, depth sensors) with our humanoid robot platforms - Build and optimize object detection, tracking, and scene understanding systems for safe operation in complex, unstructured environments - Own the streaming infrastructure that delivers sensor data reliably to foundation models, teleoperation systems, and onboard control stacks - Work closely with the AI/ML team to bridge perception outputs and learned policy inputs - ensuring low-latency, high-reliability data delivery - Implement and validate safety-certified perception components, including object detection
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