Lead Computer Vision Developer

ResCon Technologies

ResCon Technologies

IT · Full-time

Columbus, OH, USA

Posted on Jun 9, 2026

As a Computer Vision (CV) Software Developer, you will be responsible for creating and refining software toolkits and integrating ResCon’s revolutionary Machine Learning (ML) code into priority systems of interest.

Opportunity Description

ResCon is seeking a CV Developer to help create and integrate novel object recognition algorithms on low-power edge compute platforms.  Additionally, the candidate will help to develop and embed ML-based models to facilitate multiple lines of effort adjacent to the CV and image processing space, including signal processing, sensor fusion, anomaly detection, and event classification.  Current focus areas include integrating motion data into low observable object recognition.

Primary Responsibilities

  • Develop vision-based ML models for automatic target recognition and tracking to meet customer objectives

  • Develop ML models for a variety of video, acoustic, and accelerometer datasets to solve customer problems

  • Work with customers to define and curate data used to develop and deploy ML models

  • Deploy ML models on a variety of edge compute platforms, including graphical processor units, field-programmable gate arrays, and embedded neural accelerators

  • Optimize ML models against customer resource constraints while meeting customer goals

  • Collaborate with the ResCon team to develop intuitive user interfaces for ML model development toolkits

  • Participate in writing proposals for commercial and US Government funding opportunities related to ResCon’s core capabilities

  • Interact with customers to showcase ResCon’s capabilities

 Auxiliary Responsibilities

All employees are expected to pitch in to multiple activities related to scaling the company.  These include, but are not limited to:

  • Taking a leadership role on current core projects

  • Collaborating with the founding team on ResCon strategic planning

  • Establishing and scaling new ResCon offices and engineering facilities

  • Training new employees

 Company

ResCon Technologies was founded in July 2020 by Brian Gyovai, a retired Air Force pilot, Dr. Daniel Gauthier, former professor of physics at The Ohio State University and Duke, and Dr. Andrew Pomerance, president of Potomac Research, LLC.  Our mission is to revolutionize the capabilities of edge devices by deploying extremely low-power and low-data ML algorithms to existing and developmental systems.  ResCon’s ML-augmented classification, data fusion, and state estimation algorithms form the basis of our software offerings.  We aim to take ML processes out of the cloud and deploy them directly on-device, putting the smarts into smart systems.  Applications range from high-speed vehicles to autonomous robots to wearables.

Who We Are Seeking

The successful candidate will be key to a small team dedicated to making an impact in the edge computing and low-power ML space.  They will be passionate, relentlessly curious, and willing to reinvent the status quo.  We seek candidates who have experience in deploying commercial software, with backgrounds in computer vision, mathematics, and/or technical areas such as physics, aerospace engineering, mechanical engineering, or related fields.

Minimum Experience

  • 5 years industry experience developing and deploying computer vision software

  • BS in Computer Science, Engineering, Physics, Mathematics, or related fields

  • Proficiency in C/C++ and Python

  • Experience with data analysis and ML applications in C/C++, Python, MATLAB, Git, Windows 11, Linux, PyTorch, TensorFlow, and similar

  • Experience using AI agents to accelerate code development

Desired Experience

  • Passion for all things embedded with experience implementing code on edge hardware

  • Additional background in control theory, guidance & navigation, data sciences, and/or predictive maintenance

  • Familiar with ROS and associated robotics software

Position Requirements

  • U.S. Citizenship is required to work on U.S. Government projects

  • In-person preferred, though a hybrid schedule may be considered for the right candidate

ResCon Technologies is an equal opportunity employer.

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