# Kyle Coble > Software engineering at Voyant Photonics Location: New York, New York, United States Profile: https://flows.cv/kylecoble I am passionate about developing autonomous robots that make our world cleaner, safer, and more accessible. I recognize that through thoughtful solutions, robotics can play a key role in making our world more livable for everyone today and for future generations. I am a roboticist, a computer vision engineer, a firmware developer, a planner, and an open source community builder. ## Work Experience ### Software Engineer @ Voyant Photonics Jan 2024 – Present | New York, New York, United States ### Senior Software Engineer @ Farm-ng Jan 2024 – Jan 2024 Architect, design, and engineer robotics and computer vision software for autonomy of electric tractors Lead embedded firmware development and testing for safety critical vehicle control using CAN protocols Implement EKF sensor fusion of IMU, wheel speed, and control signals for accurate odometry estimation Develop vehicle control and trajectory following algorithms for skid steer and four-wheel-steering robots Mentor internal and external engineering teams to resolve complex problems and promote best practices to enhance code quality ### Computer Vision Engineer @ Farm-ng Jan 2022 – Jan 2024 Developed drivers in Rust, C++, and Python for real-time data acquisition and logging from cameras, LiDAR, IMU, GPS, and CAN Deployed UKF sensor fusion of IMU, wheel speeds, and RTK-GPS for centimeter-accurate localization Owned system testing and integration, including automated build and test GitHub CI/CD pipelines Fostered an active open-source community through API development and managing community support ### Robotics Intern - DARPA SubT Challenge, Drone Team @ NASA Jet Propulsion Laboratory Jan 2021 – Jan 2021 Integrated subterranean UAV hardware and software systems and performed field testing for underground search and rescue missions as part of the DARPA SubT Challenge drone team Integrated and tuned the deep learning-based object detection and positioning pipeline for subterranean UAVs ### Software Intern - Robotic Perception Systems | Artificial Intelligence @ NASA Jet Propulsion Laboratory Jan 2021 – Jan 2021 Trained and evaluated ML models for semantic segmentation and object detection as part of a multi-agent visual terrain relative navigation pipeline on the Robotic Perception Systems team ### Teaching Assistant @ KTH Royal Institute of Technology Jan 2020 – Jan 2020 Image Analysis and Computer Vision Key Topics: Filtering, Edge detection, Hough transforms, Stereo vision, Segmentation ### Research Engineer - Smart Mobility Lab @ Integrated Transport Research Lab (KTH) Jan 2019 – Jan 2020 | Stockholm, Sweden Developed perception and localization technologies using Python, C++, and ROS for a fleet of scaled autonomous vehicles Reduced state estimation uncertainty with sensor fusion of vehicular odometry and perception data Created robust object-oriented APIs enabling students to integrate fiducial SLAM into course projects Reduced robotic hardware by customizing OpenCV packages for computer vision SLAM using fiducial landmarks Improved autonomous vehicle traffic control tower UI/UX design with custom augmented reality applications ### Software Intern - Innovation to Flight (i2F) @ NASA Jet Propulsion Laboratory Jan 2020 – Jan 2020 Managed the design, development, and sensor integration of a model lunar rover for autonomous terraforming in the Innovation to Flight (i2F) program Prototyped software for a Lunar navigation and communication systems using a constellation of CubeSats Visually detected lunar features, contours, and craters to be used for estimating CubeSat position ### Project Engineer @ Tilcon New York Inc. Jan 2018 – Jan 2019 Planned and led the execution of a $30M environmental reclamation of an exhausted quarrying facility Coordinated and assisted execution of all capital expenditure projects for the New Jersey region totaling $15M annually Safely managed and executed all projects, without injury, while supervising contractor teams of 15+ Used 3D pit modelling to create short and long term mine plans for four aggregate quarries Maintained mining permits and regulatory compliance for four quarrying facilities Optimized quarry and construction equipment fleets ### Maintenance Engineer @ CalPortland Jan 2017 – Jan 2018 | Oro Grande, CA Determined the cause of key system failures by implementing and leading a root cause failure analysis program Reduced manufacturing costs and repair times by redesigning critical machinery components with Solidworks Scheduled and budgeted production downtimes for comprehensive machinery repair totaling up to $4.0M on MS Project ### Associate Reliability Engineer @ CalPortland Jan 2016 – Jan 2017 | Greater Los Angeles Area Increased equipment reliability by overhauling preventative, predictive, and condition-based maintenance practices Decreased energy and water consumption by designing flow modifications using ANSYS computational fluid dynamics Implemented a thorough non-destructive testing (NDT) program for critical plant equipment Dynamically balanced and aligned critical process equipment ### Laboratory Teaching Assistant @ Cornell University Jan 2015 – Jan 2016 | Ithaca, New York System Dynamics Key topics: Vibrations of multi degree-of-freedom systems, Feedback control systems Introduction to Mechanical Engineering Key topics: Mechanics, Heat Transfer, Fluid dynamics, Robotics ### Project Engineering Intern @ CalPortland Jan 2015 – Jan 2015 | Glendora, CA Improved the capital expenditure request process by redesigning the project payback spreadsheet deployed company-wide Designed and constructed systems involving pneumatics, evaporation, and air filtration Trended and analyzed company-wide energy usage totaling $100M annually ### Steel Bridge Team - Design and Fabrication Team Member @ Cornell University Jan 2013 – Jan 2014 | Ithaca, New York Designed legs and connections using STAAD and MASTAN2 to model and test possible designs Fabricated and constructed the bridge in Cornell’s Civil and Environmental Engineering machine shop ## Education ### Master of Science - MS in Systems, Controls, and Robotics KTH Royal Institute of Technology ### Bachelor's degree in Mechanical Engineering Cornell University ### Bachelor of Science (BS) in Sibley School of Mechanical and Aerospace Engineering, Dyson School of Business Minor Cornell Duffield College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/kyle-coble-98651ab3 - Website: https://hackerman342.github.io - Website: https://github.com/Hackerman342 --- Source: https://flows.cv/kylecoble JSON Resume: https://flows.cv/kylecoble/resume.json Last updated: 2026-04-05