Robotics Engineer - Field Deployments & Edge AI

General Robotics; Redmond (WA); On-site; USD 155,000 - 205,000; Full time

Job summary

General Robotics seeks Robotics Engineers to join our team to integrate GRID technology onto physical hardware and lead customer deployments. This role offers a front-row seat to Physical AI and the opportunity to collaborate with AI and robotics pioneers.

You will set up robots for real-world deployments, deploy AI models on edge devices, design experiments, and work with cross-functional teams to scale GRID capabilities for clients in diverse settings.

Qualifications

• Master’s degree (completed or in progress) in Robotics, Computer Science, or a related technical field.
• 2+ years of experience in robotics, ML, or control algorithms.
• Proficiency with ROS/ROS2 and Python/C++.
• Willingness to travel to customer sites as needed.

Responsibilities

• System Integration: Independently set up robots for real-world deployments, including edge compute and sensors.
• Model Deployment: Deploy AI models on hardware and lead field deployment efforts.
• Experimental Design: Design, run, and analyze experiments with defined hypotheses.
• Data Engineering: Create data collection routines from field tests for model tuning.
• Technical Literacy: Understand model architectures and their impact on real-world performance.
• Systems Optimization: Address bandwidth, compute, and latency constraints to improve edge performance.
• Cross-functional Collaboration: Work with AI and Simulation Engineers to transition techniques to the field.
• Platform Growth: Translate field learnings into scalable GRID capabilities.

Skills

ROS/ROS2

Python

C++

Robotics algorithms

Education

Master’s degree in Robotics or related field

Tools

NVIDIA Jetson

Edge computing

Job description

General Robotics seeks Robotics Engineers to join our team to integrate GRID technology onto physical hardware and lead customer deployments. This role offers a front-row seat to Physical AI and the opportunity to collaborate with AI and robotics pioneers.

You will set up robots for real-world deployments, deploy AI models on edge devices, design experiments, and work with cross-functional teams to scale GRID capabilities for clients in diverse settings.