Predator Eyes (Miltech)

Key Responsibilities:

• Research and develop mathematical algorithms for navigation and sensor fusion
• Apply advanced mathematical concepts (linear algebra, statistics, optimization) to improve UAV system performance
• Stay current with emerging research and technologies in UAV navigation, computer vision, and sensor fusion
• Collaborate closely with systems and computer vision engineers to translate theoretical concepts into practical solutions
• Analyze, model, and solve complex theoretical challenges in GNSS-denied navigation

Required:

• Strong mathematical foundation (linear algebra, probability/statistics, optimization, numerical methods)
• Programming skills (Python, MATLAB) for algorithm prototyping
• Experience in algorithm development and mathematical modeling
• Ability to interpret and implement research papers and technical reports
• Familiarity with sensor fusion and estimation theory

Nice to Have:

• PhD or research-oriented Master's degree in mathematics, robotics, aerospace, or related fields
• Experience with computer vision theory and 3D reconstruction techniques
• Knowledge of UAV flight dynamics and control systems
• Familiarity with machine learning frameworks (PyTorch, TensorFlow)
• Experience contributing to academic publications or technical reports

Key Responsibilities:

• Develop and implement optical flow and visual odometry algorithms
• Design real-time vision-based navigation solutions for UAVs
• Optimize CV algorithms for embedded system performance
• Integrate CV components within the broader sensor fusion pipeline
• Validate algorithms through rigorous testing and analysis

Required:

• Proven experience with OpenCV and core CV techniques
• Strong background in image processing and 3D vision (SLAM, SfM)
• Python proficiency for rapid prototyping and algorithm testing
• Understanding of computer vision algorithms for navigation tasks
• Familiarity with deep learning techniques relevant to CV
• Experience deploying optimized models (e.g., TensorRT, ONNX, OpenVINO)

Nice to Have:

• Experience in UAV or robotics CV applications
• Knowledge of embedded vision systems and edge AI deployment
• Real-time computer vision processing expertise
• Familiarity with object tracking and optical flow methods

We are seeking an RF Systems Engineer to work on multi-channel antenna systems integration and optimization. The ideal candidate will have hands-on experience with antenna arrays and RF front-end design.

Key Responsibilities:

• Design and integrate multi-channel RF systems
• Configure and test antenna array setups
• Perform RF measurements and system calibration
• Design RF signal distribution networks
• Optimize system performance
• Document technical specifications and test results
• Troubleshoot RF issues

Required Qualifications:

• Bachelor's degree in Electrical Engineering or related field
• Experience with antenna arrays
• Proficiency in RF test equipment
• Knowledge of RF system calibration
• Understanding of RF front-end design

Technical Skills:

• RF measurement techniques
• Network/Spectrum analyzer operation
• RF signal chain design
• PCB layout understanding
• RF simulation tools
• System integration experience

We are seeking a DSP Engineer to develop and implement real-time signal processing algorithms for a multi-channel antenna system. The ideal candidate will have experience with adaptive algorithms and FPGA/DSP implementation.

Key Responsibilities:

• Design and implement digital beamforming algorithms
• Develop real-time signal processing solutions
• Optimize algorithms for interference mitigation
• Create test procedures and validation methods
• Document algorithm design and performance
• Support system integration

Required Qualifications:

• Bachelor's degree in Electrical Engineering or related field
• Strong programming skills (C/C++, VHDL/Verilog)
• Experience with real-time signal processing
• Knowledge of digital beamforming techniques
• Understanding of adaptive algorithms

Technical Skills:

• FPGA development
• Digital filter design
• Algorithm optimization
• System performance analysis

Key Responsibilities:

• Develop sensor fusion and estimation algorithms for UAV navigation
• Implement and optimize navigation and state estimation filters for real-time performance
• Integrate various sensor systems (IMU, magnetometer, optical flow)
• Test, validate, and optimize system performance in GNSS-denied environments
• Contribute to the development of custom flight control software solutions

Required:

• Strong understanding of sensor fusion, state estimation, and control theory principles
• Solid understanding of IMU sensors and their principles
• Proficiency in Python and experience with embedded and real-time systems programming (C/C++, Rust)
• Background in control systems, robotics, or aerospace engineering
• Experience with ROS or similar robotic middleware
• Familiarity with simulation tools, particularly Gazebo

Nice to Have:

• Experience with UAV-specific flight controllers (ArduPilot, Betaflight, PX4)
• MATLAB/Simulink proficiency for modeling and simulation
• Knowledge of aerodynamics and UAV flight dynamics
• Familiarity with other simulation tools (AirSim, RealFlight)

Key Responsibilities:

• PCB design and development
• Component selection and BOM management
• Design verification and testing
• Embedded firmware development
• Hardware documentation

Required:

• Experience with PCB design software (KiCad/Altium)
• Understanding of circuit design and analysis
• Component selection and sourcing experience
• Embedded C/C++ programming
• Experience with microcontrollers (STM32, ESP32, etc.)
• Knowledge of communication protocols (I2C, SPI, UART)

Nice to Have:

• Experience with UAV/drone electronics
• PCB manufacturing and assembly knowledge
• Experience with wireless communication systems
• RTOS experience
• Power management design experience