Robotics AI & Computer Vision Engineer

Unseenrobotics; Columbus (OH); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Unseenrobotics seeks a Robotics AI & Computer Vision Engineer to develop perception and intelligent decision-making for next-generation robotic systems. You will work at the intersection of AI, computer vision, robotics, and embedded computing—turning data from cameras and sensors into actionable information for robotic environments.

This hands-on role involves developing algorithms, training models, integrating them onto real hardware, collecting field data, and evaluating performance on

Qualifications

• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Aerospace Engineering, Data Science, or related discipline.
• Experience with Python and/or C++.
• Understanding of computer vision, ML, neural networks or image processing.
• Experience developing and evaluating AI/ML models.
• Strong software development and debugging skills.

Responsibilities

• Develop computer vision and machine-learning algorithms for robotic perception.
• Develop object detection, classification, tracking, localization, segmentation, and scene-understanding capabilities.
• Train, evaluate, optimize, and deploy AI/ML models using real and simulated data.
• Integrate cameras, thermal imagers, depth sensors, and other perception sensors.
• Develop multi-sensor and multi-camera perception capabilities.
• Optimize AI and computer vision algorithms for embedded/edge hardware.
• Build data pipelines for collecting, labeling, and analyzing training/test data.
• Develop simulation and synthetic-data approaches to supplement real-world datasets.
• Quantify model performance, uncertainty, false positives/negatives, and limitations.
• Integrate perception outputs with autonomy, navigation, mission-management and vehicle-control software.
• Participate in laboratory, field, and flight testing.

Skills

Python

C++

Computer vision

Machine learning

Embedded computing

Software development

Debugging

Research translation

Education

BS or MS in Computer Science/Engineering/Robotics

Tools

PyTorch

TensorFlow

OpenCV

CUDA

ROS/ROS 2

NVIDIA Jetson

Edge AI

Sensor fusion

Job description

Location: Columbus, Ohio
Employment: Full-Time or Part-Time, Contingent on SBIR/Contract Award
Experience Level: Early Career / New Graduate
Expected Start: Upon program award and funding
US Person: Need to be US person who is eligible for secret clearance

About the Role

We are seeking a Robotics AI & Computer Vision Engineer to develop perception and intelligent decision-making capabilities for next-generation robotic systems.

You will work at the intersection of artificial intelligence, computer vision, robotics, and embedded computing—turning data from cameras and other sensors into information that enables robotic systems to understand and respond to their environment.

This is a hands‑on engineering role. You’ll have the opportunity to develop algorithms, train models, integrate them onto real hardware, collect field data, and evaluate performance on operational robotic platforms.

This position is contingent upon successful SBIR or other government contract award.

What You’ll Do

• Develop computer vision and machine-learning algorithms for robotic perception.
• Develop object detection, classification, tracking, localization, segmentation, and scene-understanding capabilities.
• Train, evaluate, optimize, and deploy AI/ML models using real and simulated datasets.
• Integrate cameras, thermal imagers, depth sensors, and other perception sensors.
• Develop multi-sensor and multi-camera perception capabilities.
• Optimize AI and computer vision algorithms for operation on embedded and edge-computing hardware.
• Develop methods for operating in challenging lighting, weather, motion, and environmental conditions.
• Build data pipelines for collecting, labeling, managing, and analyzing training and test data.
• Develop simulation and synthetic-data approaches to supplement real-world datasets.
• Quantify model performance, uncertainty, false-positive/false-negative rates, and operational limitations.
• Integrate perception outputs with autonomy, navigation, mission-management, and vehicle-control software.
• Participate in laboratory, field, and flight testing.
• Diagnose failures and improve algorithms based on real-world test results.
• Help establish the company’s AI/ML architecture, development processes, datasets, and technical roadmap.
• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Aerospace Engineering, Data Science, or a related discipline.
• Experience with Python and/or C++.
• Understanding of computer vision, machine learning, neural networks, or image processing.
• Experience developing and evaluating AI/ML models.
• Strong software development and debugging skills.
• Ability to translate research concepts into functioning software.
• Interest in robotics, autonomous systems, aviation, or defense technology.
• Willingness to work directly with physical hardware and participate in field testing.

Experience with PyTorch, TensorFlow, OpenCV, CUDA, ROS/ROS 2, NVIDIA Jetson, edge AI, object detection, visual navigation, SLAM, sensor fusion, thermal imaging, synthetic data, or embedded computing is a plus.

Who Will Thrive Here

We’re looking for someone who wants to do more than train models against an existing dataset.

The right candidate will want to understand the entire perception problem: What should the robot detect? What sensors should we use? What data do we need? How do we train the model? How do we deploy it on constrained hardware? And how do we prove that it works in the real world?

Candidates who have built autonomous vehicles, drones, robots, computer-vision systems, AI applications, or other intelligent systems through university research, student engineering teams, internships, competitions, or personal projects are strongly encouraged to apply.

As an early member of the engineering team, you’ll have significant influence over our perception architecture, AI/ML development environment, sensor selection, data strategy, and future autonomous capabilities.

Important: This is a contingent position. Selection does not constitute a guarantee of employment. Hiring and the anticipated start date depend upon successful contract or SBIR award and availability of program funding.