Remote Edge AI Robotics Engineer - ROS & Real-Time Control

imply+infer

United States

Remote

USD 110,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Equity
Remote-first arrangement
Optional coworking in San Francisco
Open-source contributions

Job summary

imply+infer seeks a robotics engineer to build edge-enabled robotic systems that run AI workloads on edge hardware for real-time operation in field environments.

You will work across robotics software, perception, control and hardware integration, collaborating with AI teams to adapt models for constrained devices, and contribute to open-source projects. Remote-first with optional coworking in San Francisco and equity compensation are offered.

Qualifications

  • Minimum of 3 years robotics engineering experience or relevant work in a related field.
  • Strong ROS/ROS 2 skills and experience with real-time control systems.
  • Proficiency in C++ and Python; familiarity with embedded systems and ARM-based platforms.
  • Practical knowledge of computer vision, SLAM and sensor fusion.

Responsibilities

  • Design robotic systems that integrate edge-computing hardware.
  • Develop perception pipelines using stereo vision, LiDAR and sensor fusion.
  • Implement real-time control for autonomous navigation and manipulation.
  • Work with AI colleagues to adapt models for deployment on constrained devices.
  • Build and test robust systems for operation outside controlled settings.
  • Contribute tools and technical documentation for an open-source developer community.

Skills

Robotics engineering
ROS/ROS2
Real-time control
Computer vision
SLAM
Sensor fusion
C++
Python

Tools

ROS/ROS 2
Embedded ARM platforms
NVIDIA Jetson

Job description

imply+infer seeks a robotics engineer to build edge-enabled robotic systems that run AI workloads on edge hardware for real-time operation in field environments.

You will work across robotics software, perception, control and hardware integration, collaborating with AI teams to adapt models for constrained devices, and contribute to open-source projects. Remote-first with optional coworking in San Francisco and equity compensation are offered.

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