Robot Perception Engineer
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- Employment
- FullTime
- Stated compensation
- USD 175,000–280,000 1 YEAR
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Requirements
1 with evidence8 unclear or unstated- Minimum experience (years)
- 4
“4+ years of experience in robotics perception, computer vision, or a closely related field”
See matched passage in original description ↓ - Employment type
- FullTime
- Compensation
- USD 175,000–280,000 1 YEAR
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Original job description
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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 $450M 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 and collision avoidance, to meet real-world deployment requirements
Support bring-up and field testing of new camera hardware and sensor configurations
Contribute to system reliability, fault detection, and recovery logic for robust real-world perception
What We're Looking For
4+ years of experience in robotics perception, computer vision, or a closely related field
Strong software engineering fundamentals in C++, Python, or Rust
Hands-on experience with sensor integration and calibration (cameras, LiDAR, IMUs, depth sensors)
Experience building real-time perception pipelines on embedded or edge compute platforms
Familiarity with streaming and networking systems for low-latency sensor data transport
Experience with ROS/ROS2 or similar robotics middleware in production or research contexts
Ability to debug across the full stack — from driver-level sensor issues to perception behavior on live hardware
Nice to Have (But Not Required)
Experience with safety-certified or safety-critical perception systems (e.g., ISO 26262, IEC 61508, or similar)
Background in multi-sensor fusion and calibration for robust perception under real-world conditions
Familiarity with teleoperation systems and the latency and reliability constraints they impose
Experience deploying and optimizing perception models on edge or onboard compute (quantization, TensorRT, etc.)
Familiarity with humanoid or legged robot platforms and the unique perception challenges they present
Prior work on early-stage hardware programs (prototype or pre-production robots)
Why This Role
Your perception stack is the robot's eyes — the software you write directly determines what our humanoids can see, understand, and safely interact with in the real world
Work at the boundary of hardware and AI, integrating state-of-the-art sensors and learned perception models onto real robotic systems
High ownership in a small, fast-moving team where your contributions shape how the next generation of humanoid robots perceive and navigate the world
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