Applied Robotics Engineer — From Prototype to Real-World

General Intuition & Medal; Washington (District of Columbia); On-site; USD 150,000 - 210,000; Full time

Job summary

General Intuition is seeking an Applied Robotics Engineer to bridge research with real-world deployments. The role involves taking models from simulation to hardware, operating under constraints such as limited compute, power, sensors, and environmental variability.

This in-person, Virginia-based position requires collaboration with customers, field work, and close interaction with research to diagnose failures and improve deployment performance.

Qualifications

• 5+ years of experience deploying AI or robotics systems from prototype to production.
• Experience taking a model from a training checkpoint to running on real hardware and owning it end to end.
• Strong Python and PyTorch, and you drop into C++ when performance requires it. You've done inference optimization on constrained hardware: quantization, distillation, TensorRT or ONNX export, control frequency.

Responsibilities

• Deploy AI/robotics systems from prototype to production on real hardware.
• Perform post-training evaluation, system integration, and deployment.
• Work with partners to understand legacy control systems, sensor pipelines, latency constraints, and edge compute limits.
• Diagnose failures, determine root causes, and fix the system rather than the symptom.

Skills

Python

PyTorch

C++

Model deployment

Tools

TensorRT

ONNX

CUDA

ROS

Job description

General Intuition is seeking an Applied Robotics Engineer to bridge research with real-world deployments. The role involves taking models from simulation to hardware, operating under constraints such as limited compute, power, sensors, and environmental variability.

This in-person, Virginia-based position requires collaboration with customers, field work, and close interaction with research to diagnose failures and improve deployment performance.