# Robot Perception Engineer at Rhoda AI

Robot Perception Engineer at Rhoda AI in Mountain View. Full-time, paying $175k–$280k. Posted May 14, 2026.

- Company: Rhoda AI
- Location: Mountain View
- Job type: Full-time
- Pay: $175k–$280k
- Experience: 4+ years
- Posted: 2026-05-14
- Apply: https://jobs.ashbyhq.com/rhoda-ai/5096d04e-0bb8-4fe1-b8bf-e8901a9d013f/application
- Source: https://jobmagic.ai/jobs/robot-perception-engineer-rhoda-ai-zexnd1

## Requirements

- 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

## Description

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