• The Next Generation of

    Aircraft Avoidance & Obstacle Avoidance Systems for Commercial Drones

  • Give Your Drones Fast Autonomy

    Provide Autonomous Protection for People, Aircraft, Property and the Costly

     Commercial Drone Itself

  • Add Your Virtual Pilot on Board

    Avoid Aircrafts in Near-Earth Flights

  • Qelsafe Avoidance Systems

    Avoid Troubles. Avoid Obstacles.

    Fly Fast. Be Safe.

    Fast Reactions.

    Qelsafe systems detect and react faster. Your drone can be flown faster and still have time to react to unexpected events.

    See. React. Be Safe.

    See So Much More.

    Qelsafe systems detect in ~1,000,000 times more different light conditions than conventional cameras. Coming out of a dark tunnel to bright sunlight? Qelsafe still sees the obstacles. An aircraft is next to the sun? Qelsafe still detects it.

    Travel light.

    Powerful in a light package

    The sensor package together with the processing unit are light. Drones stay light,  can fly longer, and stay agile. 

    Save your energy.

    Efficient processing, less waste.

    Our systems are low power. Plus, they remove redundancy. Processing is more efficient and less power is used. More power to keep your drones in the air, where they belong.

    Power gain, again.

  • A fast, low-power 

    obstacle avoidance system

  • We Do Things Differently

    Brain-Inspired Engineering

  • About Our Company

    High tech at its best.

    Passion

    Qelzal develops Qelsafe, a unique Aircraft Avoidance and Obstacle Avoidance System for commercial drones that leverages our expertise in natural vision systems, deep learning, and machine learning. Qelsafe detects and avoids all types of obstacles and low flying aircraft, keeping drones and aircraft safe while unchaining the drones to roam free beyond line of sight. Qelzal leverages brain­-inspired engineering and applies its technological advantages to perception and motor control. The company was founded by experts in machine learning, neuroscience, physics, and electrical engineering, with experience in pulsed systems, deep learning, control theory and robotics. We are passionate about bringing new technologies alive.

     

    Experience

    Qelzal's team has decades of experience working on different projects, from computer vision for hand-gesture recognition to an "artificial nervous system for UAVs" (Unmanned Aerial Vehicles)" on a DARPA project.

    Ingenuity

    Our team develops ingenious novel solutions by combining its expertise in brain-inspired technologies, machine learning, big data and deep learning.

  • EvoNexus

    Qelzal is an EvoNexus Porfolio Company. EvoNexus is Southern California’s leading tech startup incubator with locations in San Diego, La Jolla, and Irvine.

    DARPA

    Funded by DARPA SBIR Program Miniature Optical Guidance & Navigation.

    National Science Foundation

    NSF Funds Qelzal High Performance Sense and Avoid

    LightSpeed Innovations

    Qelzal is a LightSpeed Innovations Portfolio Company.
    LightSpeed Innovations is the aerospace start-up factory. We work across the spectrum of space and aviation and all technologies in-between.

  • BUILD SAFER DRONES.

    WE CAN HELP PROVIDE DIFFERENTIATION in YOUR DRONE PRODUCTS and HELP YOU SUCCEED.

    Let's get in touch

  • LOCATION

    In the drone capital of the world

  • The Next Generation of 

    OBSTACLE AVOIDANCE SYSTEMS

    FOR COMMERCIAL DRONES

     

    We see things differently.

  • Social Feed

    Check out our latest updates!

  • Careers

    Join our team of technical visionaries, scientists, engineers and developers, we are looking to grow by finding others who share our passion for technology.

     

    We offer a dynamic work environment in which all contributions are valued and innovation is rewarded.

     

    We are seeking highly motivated and independent problem solver to join the company and become part of a small, agile management and engineering team. We have, full time, part time and intern positions available.

     

    The ideal candidates are creative thinkers that enjoy tackling complex technical problems. Strong preference will be given to candidates with demonstrated intellectual curiosity and the ability to independently solve problems.

    Software Engineer - Algorithms

    BS, MS, PhD or currently working on one

    An Invitation:

    Join our Qelzal team in San Diego, California as we extend the limits of autonomous vehicles ability to detect obstacles and avoid them. Our implementation of real-time sense and avoid algorithms, including the fusion of multiple sensors, is the secret sauce that separates us from all competitors. This role brings that secret sauce to life by transitioning our brain-inspired engineering into the specific instructions that guide vehicles to safety, unlocking the economic potential of autonomous vehicle markets. Come be a part of our journey.

     

    How will you make a difference? You will:

    • Transition algorithms to real-time embedded software functions, primarily in Linux, Python, C/C++, OpenCV and the Robot Operating System (ROS)

    • Develop and integrate novel sense and avoid algorithms

    • Develop error models for new and existing sensor technologies based on collected data

    • Develop and utilize simulation testbeds to support algorithm testing and assessment

    • Support system field testing on a variety of platforms, including aircraft, ground vehicles, and boats

    • Help out in all aspects of software as needed

    Basic Skills:

    • BS in Computer Engineering, Electrical Engineering, Computer Science, Aerospace Engineering, Mechanical Engineering or equivalent

    • Experience programming in C/C++, MATLAB, Python, and ROS

    • Experience with OpenCV, ROS library

    • Experience with the Linux operating environment

    • Experience using version control tools (e.g., Subversion, GIT)

    Enhanced Skills:

    • MS or PhD in CE, EE, CS, AE, ME or related field

    • Experience with Simulink and Model-Based Design techniques

    • Experience with Extended Kalman Filters, Particle Filters and their variants

    • Experience with nonlinear optimization algorithms

    • Experience with integration of vision-based measurements into navigation and localization filters

    • Experience with machine learning and deep learning algorithms

    • Experience with interface communication standards / protocols including TCP/IP, and UDP

    • Experience working with various sensor types (Inertial Measurement Units, GPS, cameras, LIDAR, etc.) and developing sensor error models

    • Experience with autonomous system development through robotics competitions

    • Ability to lead and drive projects to success and communicate the results effectively

    Please send to jobs@qelzal.com:

    - Resume, CV, or link(s) to LinkedIn and others

    - Link to repository to some of your work, such as

    - 3 written documents (papers, reports, thesis, etc.) on your accomplishments

    - any other useful documents, links

    Technical positions

    BS, MS, PhD or currently working on one

    Applicants possessing the following skills or attributes are sought:

    · Computer science, electrical engineering, machine learning, robotics, physics, applied math, or a related field

    · An overall strong command of embedded systems, ROS, Linux

    · Experience programming in a C/C++ , Python, (Matlab)

    · Familiarity with software development life cycle and processes

    · Ability to search and stay current with published research and industry trends

    · Ability to lead and drive projects to success and communicate the results effectively

     

    Please send to jobs@qelzal.com:

    - CV, or link(s) to LinkedIn and others

    - Github link or other repository to some of your code,

    - 3 written documents, links (papers, reports, thesis, etc.) on your accomplishments

    - any other useful documents, links

    Business positions

    BA, MBA or currently working on one

    Applicants possessing the following skills or attributes are sought:

    · Bachelor, Master, in business administration, management, business development, finance, marketing, accounting, or a related field

    · Familiarity with lean startup methodology and tools

    · Familiarity with software and management tools

    · Ability to lead and drive projects to success and communicate the results effectively

     

    Please send to jobs@qelzal.com:

    - CV, or link(s) to LinkedIn and others

    - Link to repository to some of your work, including

    - 3 written documents (papers, reports, thesis, etc.) on your accomplishments

    - any other useful documents, links

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