Om Dragonfly

The Role:

We are looking for an experienced Embedded/Firmware Engineer for developing a robust and performant platform for our UAV autonomous operation firmware components.

Must have skills:
● 3+ years of commercial experience as an embedded/firmware engineer in UAVs, robotics, or autonomous systems
● Proficiency in C++
● Experience with Python
● Proficiency in multithreading and IPC
● Experience in porting firmware to other platforms
● Experience in optimizing code for low-budget hardware
● Experience with optimizing code for GPU and NPU
● Experience with single-board computers, microcontrollers and microcomputing (Raspberry Pi, Nvidia Jetson, STM32 etc.)
● Experience with UAVs, autotuning, integrating and calibrating peripherals such as cameras and IMUs
● Experience with development for Linux-based systems
● Experience with Docker
● Experience with bash
● Intermediate level of English

Nice to have skills:
● Understanding of Kalman filtering and sensor fusion techniques
● Experience with RTOS

● Familiarity with MavLink or MSP protocols
● Familiarity with ArduPilot, BetaFlight, QGroundControl
● Familiarity with flight controllers, e.g., PixHawk, Mateksys
● Understanding of remote sensing and statistics
● Knowledge of networking, UDP/TCP/IP protocols and wireless communication systems
● Familiarity with UAV on-board video processing
● Experience with Google Coral AI accelerator or other edge TPUs
● Understanding of geospatial data and ability to process it with GIS tools (GDAL, Rasterio, QGIS) for navigation purposes
● Drone assembly skills
● Soldering skills

Your responsibilities:
● Port existing firmware for autonomous UAV operation to other (including low-budget) hardware platforms
● Optimize/refactor UAV firmware to use GPU and NPU
● Develop pipelines for streamlining UAV firmware compilation, calibration and flashing
● Develop hardware- and computer vision model abstraction layers
● Harden UAV firmware to minimize reverse engineering and copying capabilities
● Collaborate with UAV and computer vision engineers for deploying UAV firmware to hardware
● Participate in field testing to evaluate UAV operation

The Role:

We are looking for an experienced Computer Vision Engineer to develop and optimize an autonomous navigation system for UAVs. You will be responsible for developing a solution based on visual-inertial odometry methods in GNSS-denied environments.

Must have skills:
● 5+ years of commercial experience in Computer Vision and Machine Learning preferably in UAVs, robotics, or autonomous systems
● Proficiency in Python
● Experience with OpenVINS
● Experience with such frameworks as TensorFlow and OpenCV, YOLO or PyTorch
● Experience with visual-inertial odometry, camera position estimation, detection and tracking of visual features of static objects
● Understanding of key performance-defining metrics of computer vision algorithms
● Familiarity with AirSim, Gazebo or other simulation software
● Experience with different footage formats: RGB, greyscale, infrared, thermal
● Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
● Familiarity with UAVs, their typical on-board real-time CV pipelines
● Familiarity with drone flight control principles
● Experience with deep learning, neural networks and CNN
● Intermediate level of English

Nice to have skills:

● Understanding of Kalman filtering and sensor fusion techniques
● Familiarity with Linux
● Familiarity with the MAVLink protocol and ArduPilot
● Experience with Google Coral AI accelerator or other edge TPUs
● Experience with geospatial data processing and GIS tools (e.g., GDAL, Rasterio, QGIS)

Your responsibilities:

● Develop, train, and optimize computer vision models for an autonomous UAV navigation system based on visual-inertial odometry and other methods
● Collaborate with UAV and embedded engineers for deploying CV models to hardware
● Develop model performance metrics for evaluating model accuracy and inference
● Perform flight simulation, participate in field testing and flight data analysis to validate model performance
● Optimize the models for various weather and lighting conditions (including night time) as well as a range of UAV flying speeds/heights with the focus on result reproducibility
● Utilize geospatial data for real-time updating of estimated UAV position

The Role:

We are looking for an experienced Computer Vision Engineer to develop and optimize an autonomous navigation system for UAVs. You will be responsible for developing a solution based on visual-inertial odometry methods in GNSS-denied environments.

Must have skills:
● 5+ years of commercial experience in Computer Vision and Machine Learning preferably in UAVs, robotics, or autonomous systems
● Proficiency in Python
● Experience with OpenVINS
● Experience with such frameworks as TensorFlow and OpenCV, YOLO or PyTorch
● Experience with visual-inertial odometry, camera position estimation, detection and tracking of visual features of static objects
● Understanding of key performance-defining metrics of computer vision algorithms
● Familiarity with AirSim, Gazebo or other simulation software
● Experience with different footage formats: RGB, greyscale, infrared, thermal
● Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
● Familiarity with UAVs, their typical on-board real-time CV pipelines
● Familiarity with drone flight control principles
● Experience with deep learning, neural networks and CNN
● Intermediate level of English

Nice to have skills:

● Understanding of Kalman filtering and sensor fusion techniques
● Familiarity with Linux
● Familiarity with the MAVLink protocol and ArduPilot
● Experience with Google Coral AI accelerator or other edge TPUs
● Experience with geospatial data processing and GIS tools (e.g., GDAL, Rasterio, QGIS)

Your responsibilities:

● Develop, train, and optimize computer vision models for an autonomous UAV navigation system based on visual-inertial odometry and other methods
● Collaborate with UAV and embedded engineers for deploying CV models to hardware
● Develop model performance metrics for evaluating model accuracy and inference
● Perform flight simulation, participate in field testing and flight data analysis to validate model performance
● Optimize the models for various weather and lighting conditions (including night time) as well as a range of UAV flying speeds/heights with the focus on result reproducibility
● Utilize geospatial data for real-time updating of estimated UAV position

The Role:

We are looking for an experienced Embedded/Firmware Engineer for developing a robust and performant platform for our UAV autonomous operation firmware components.

Must have skills:
● 3+ years of commercial experience as an embedded/firmware engineer in UAVs, robotics, or autonomous systems
● Proficiency in C++
● Experience with Python
● Proficiency in multithreading and IPC
● Experience in porting firmware to other platforms
● Experience in optimizing code for low-budget hardware
● Experience with optimizing code for GPU and NPU
● Experience with single-board computers, microcontrollers and microcomputing (Raspberry Pi, Nvidia Jetson, STM32 etc.)
● Experience with UAVs, autotuning, integrating and calibrating peripherals such as cameras and IMUs
● Experience with development for Linux-based systems
● Experience with Docker
● Experience with bash
● Intermediate level of English

Nice to have skills:
● Understanding of Kalman filtering and sensor fusion techniques
● Experience with RTOS

● Familiarity with MavLink or MSP protocols
● Familiarity with ArduPilot, BetaFlight, QGroundControl
● Familiarity with flight controllers, e.g., PixHawk, Mateksys
● Understanding of remote sensing and statistics
● Knowledge of networking, UDP/TCP/IP protocols and wireless communication systems
● Familiarity with UAV on-board video processing
● Experience with Google Coral AI accelerator or other edge TPUs
● Understanding of geospatial data and ability to process it with GIS tools (GDAL, Rasterio, QGIS) for navigation purposes
● Drone assembly skills
● Soldering skills

Your responsibilities:
● Port existing firmware for autonomous UAV operation to other (including low-budget) hardware platforms
● Optimize/refactor UAV firmware to use GPU and NPU
● Develop pipelines for streamlining UAV firmware compilation, calibration and flashing
● Develop hardware- and computer vision model abstraction layers
● Harden UAV firmware to minimize reverse engineering and copying capabilities
● Collaborate with UAV and computer vision engineers for deploying UAV firmware to hardware
● Participate in field testing to evaluate UAV operation

The Role:

We are looking for an experienced Computer Vision Engineer to develop and optimize object detection, object classification and lock-on-target algorithms for UAVs. You will be responsible for developing computer vision models to enhance UAV autonomy in challenging environments.

Must have skills:
● 3+ years of commercial experience in Computer Vision and Machine Learning preferably in UAVs, robotics, or autonomous systems
● Proficiency in Python
● Experience with TensorFlow and OpenCV
● Experience with object detection, object classification and tracking algorithms
● Experience with different footage formats: RGB, greyscale, infrared
● Experience in deploying and optimizing models for single-board computers such as Raspberry Pi or low-budget hardware like FPGA
● Familiarity with UAVs, their typical on-board real-time CV pipelines
● Understanding of key performance-defining metrics of computer vision algorithms
● Experience with deep learning, neural networks and CNN
● Intermediate level of English

Nice to have skills:

● Familiarity with YOLO and PyTorch
● Familiarity with drone flight control principles
● Familiarity with Linux
● Familiarity with C++ or Rust
● Familiarity with MAVLink and MSP protocols
● Familiarity with ArduPilot and BetaFlight autopilots

● Experience with Google Coral AI accelerator or other edge TPUs
● Familiarity with AirSim, Unreal Engine, Gazebo or other simulation software

Your responsibilities:

● Develop, train, and optimize computer vision models for real-time object detection, classification and locking on static and dynamic targets for different types of UAVs
● Collaborate with UAV and embedded engineers for deploying CV models to hardware as a part of solution enhancing UAV autonomy
● Develop model performance metrics for evaluating model accuracy and inference
● Perform flight simulation, participate in field testing and flight data analysis to validate model performance
● Optimize the models for various weather conditions, low lighting and other environmental challenges as well as low-budget hardware