Autonomous Robotics Computer Vision Engineer

Mirador Search Partners; Arlington (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Our client, a Fortune 500-backed robotics company, is developing autonomous systems for large-scale infrastructure projects. This role focuses on perception for robots, integrating cameras, LiDAR, and sensors to enable safe operation in real-world environments.

You will collaborate with Robotics, Software, and Hardware teams to deploy ML/DL models on embedded/edge platforms, optimize latency, and contribute to the next-gen perception architecture.

Qualifications

• Bachelor’s/Master’s/Ph.D. in CS, Robotics, CE, EE, AI, or related field.
• Proven industry experience developing production-grade computer vision and AI solutions for deployed robotic or autonomous systems.
• Hands-on experience with ROS/ROS2 and perception pipelines utilizing cameras, LiDAR, depth sensors, IMUs, or similar technologies.
• Strong expertise in computer vision, deep learning, and ML frameworks (PyTorch, TensorFlow, OpenCV).

Responsibilities

• Design, develop, and deploy advanced computer vision and AI algorithms for autonomous robotic systems.
• Build high-performance perception pipelines using cameras, LiDAR, and other sensors for object detection, localization, and navigation.
• Develop, train, optimize, and deploy ML/DL models for production robotic systems.
• Collaborate with Robotics, Software, and Hardware teams to integrate perception algorithms into autonomous platforms.
• Improve the AI development lifecycle with data pipelines, CI/CD, validation frameworks, and production monitoring.
• Perform sensor integration, calibration, and testing across cameras, LiDAR, depth sensors, and IMUs.
• Conduct field testing, troubleshoot perception challenges, and implement continuous improvements.
• Optimize AI models for performance, latency, and deployment on embedded/edge platforms.
• Help define long-term perception architecture and sensor strategy for next-gen autonomous robots.
• Stay current with emerging robotics tech to improve system capabilities.

Skills

Python

C++

Robotics

Computer Vision

Machine Learning

Embedded systems

Education

Bachelor's/Master's/Ph.D. in Computer Science, Robotics, Computer Engineering, Electrical Engineering, AI, or related field

Tools

ROS/ROS2

OpenCV

PyTorch

TensorFlow

Job description

Our client, a Fortune 500-backed robotics company, is developing autonomous systems for large-scale infrastructure projects. This role focuses on perception for robots, integrating cameras, LiDAR, and sensors to enable safe operation in real-world environments.

You will collaborate with Robotics, Software, and Hardware teams to deploy ML/DL models on embedded/edge platforms, optimize latency, and contribute to the next-gen perception architecture.