aimlroles

Robot Perception Engineer

Rhoda AI rhoda.ai Open · verified Oct 22, 2026
Mountain View Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Rhoda AI. Mountain View · full-time · $175,000–$280,000 base.

SalaryStated by Rhoda AI
$175,000 – $280,000
Base salary for this role, in USD per year, as published in the posting.
This role, from Rhoda AIOur estimate for the market: $195,000–$232,500Median $227,500
The range includes the market median of $227,500 for mid-level AI research roles in Mountain View.
Worked out from 9 postings that stated pay, median $227,500. Last updated Oct 2, 2026.
RoleAI Research
SeniorityMid-level
LocationMountain View
EmploymentFull-time
Base pay$175,000–$280,000
PostedMay 14, 2026 · 5mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build real-time perception pipelines for humanoid robots, including sensor setup and calibration
  • Develop object detection, tracking and scene understanding for safe operation in complex settings
  • Deliver sensor streams reliably to foundation models, teleoperation and onboard control systems
  • Connect perception results with learned policy inputs, keeping data delivery fast and dependable
  • Test safety-focused detection and collision avoidance, and help bring up new cameras in field trials

What you bring

  • At least four years in robotics perception, computer vision or a closely related discipline
  • Strong software engineering skills in C++, Python or Rust
  • Practical experience integrating and calibrating cameras, LiDAR, IMUs or depth sensors
  • Experience building real-time perception on embedded or edge compute, plus ROS/ROS2 or similar middleware

Who this fits

This mid-level role suits an engineer who can debug from sensor drivers through perception behavior on live robot hardware. You’ll work across robotics hardware and AI, including field testing new camera configurations.

From the employer

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