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 is an innovative robotics company backed by a Fortune 500 organization, developing advanced autonomous systems that are transforming how large-scale infrastructure projects are completed. By combining robotics, computer vision, artificial intelligence, and automation, they are bringing cutting-edge technology into real-world industrial environments to improve safety, efficiency, and productivity

Role Description

• Design, develop, and deploy advanced computer vision and AI algorithms that enable autonomous robotic systems to perceive and interact with complex real-world environments
• Build high-performance perception pipelines utilizing data from cameras, LiDAR, and other sensors for applications such as object detection, segmentation, localization, pose estimation, and navigation
• Develop, train, optimize, and deploy machine learning and deep learning models for production robotic systems operating in the field
• Collaborate closely with Robotics, Software, and Hardware Engineering teams to integrate perception algorithms into autonomous robotic platforms
• Improve the end-to-end AI development lifecycle by enhancing data pipelines, model training workflows, CI/CD processes, validation frameworks, and production monitoring
• Perform sensor integration, calibration, and testing across multiple perception technologies including cameras, LiDAR, depth sensors, and IMU
• Conduct field testing, troubleshoot perception and autonomy challenges, analyze system performance, and implement continuous improvements based on real-world deployment
• Optimize AI models for performance, latency, reliability, and deployment on embedded or edge computing platforms
• Help define the long-term perception architecture, sensor strategy, and technical roadmap for next-generation autonomous robotic systems
• Stay current with emerging technologies in robotics, computer vision, machine learning, and Physical AI, introducing innovative approaches that improve system capabilities and performance

Qualifications

• Bachelor's, Master's, or Ph.D. in Computer Science, Robotics, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related technical discipline
• Proven industry experience developing production-grade computer vision and AI solutions using Python and/or C++ for deployed robotic or autonomous systems
• Hands-on experience with robotic software frameworks such as ROS or ROS 2, along with perception pipelines utilizing cameras, LiDAR, depth sensors, IMUs, or similar technologies
• es.Strong expertise in computer vision, deep learning, and machine learning frameworks (e.g., PyTorch, TensorFlow, OpenCV), including model training, optimization, and deployment