Robotics Engineer

imply+infer; United States; Remote; USD 110,000 - 190,000; Full time

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

Role overview

Build robotic systems that run AI workloads directly on edge hardware, supporting real-time operation without relying on cloud connectivity. The role spans robotics software, perception, control and hardware integration, with work intended for use in challenging field environments.

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.

Requirements

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

Nice to have

• Experience with NVIDIA Jetson or comparable edge AI hardware.
• Background in mechanical design or hardware integration.

Benefits and work setup

• Remote-first arrangement, with optional coworking in San Francisco.
• Opportunity to contribute to open-source projects and products used by researchers and engineers.
• Compensation includes salary and equity.