Senior Robotics Software Engineer

Mirador Search Partners; Arlington (VA); On-site; USD 120,000 - 190,000; Full time

Job summary

Mirador Search Partners client, a robotics company backed by a Fortune 500 organization, is hiring a senior computer vision and AI engineer to advance autonomous robotic systems for industrial environments.

You will design perception pipelines, train ML models, and collaborate with robotics, software, and hardware teams to deploy production-ready solutions with a focus on performance and reliability in edge computing contexts.

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
• Strong expertise in computer vision, deep learning, and machine learning frameworks (e.g., PyTorch, TensorFlow, OpenCV), including model training, optimization, and deployment

Responsibilities

• 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

Skills

Python & C++

ROS/ROS2

Computer Vision

DL/ML Frameworks

Education

Bachelors/Masters/PhD in CS/Robotics/EE/CE/AI

Tools

PyTorch

TensorFlow

OpenCV

ROS/ROS2

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