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# Machine Learning Systems Engineer II

- **Company:** Sara Inc
- **Location:** Colorado Springs, CO, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** LTE (Telecommunication), Artificial Intelligence, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Ubuntu (Operating System), Nvidia CUDA, Embedded Software, Firmware, Field-Programmable Gate Array (FPGA), Global Positioning Systems (GPS), Hardware Design, Python (Programming Language), OpenCV, PID Controllers, Tensorflow, Software Engineering, Systems Integration, Visual Systems, Wi-Fi Technology, Robot Operating System, Real Time Systems, Pytorch, RTSP, Information Technology, Machine Learning Operations, Video Streaming, Lidar, Hardware Debugging
- **Published:** September 23, 2026
- **Apply:** https://www.jofdav.com/jobs/59821475-machine-learning-systems-engineer-ii

## About the Role

* Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related field
 * 5 - 7 years of hands-on experience with flight controller integration and UAV software development
 * Experience with NVIDIA Jetson AI acceleration, DeepStream SDK, and / or CUDA programming
 * Knowledge of AI-driven perception, SLAM, and real-time processing on Jetson platforms
 * Experience designing UAS GNC architectures in GPS unavailable environments
 * Strong proficiency in PX4, ArduPilot, MAVLink, ROS, C++, and Python
 * Experience with PID tuning, sensor calibration, and autonomous navigation algorithms
 * Understanding of wireless communication protocols, low-latency video streaming, and telemetry links
 * US Citizen with the ability to obtain and maintain DoD security clearance
 * May require Moderate physical effort, including standing, sitting, and use of hands while performing duties, and carrying or lifting up to 50 pounds
 * Working environment is indoor, moderately quiet, reasonably clean, well-lit, and well-ventilated; moderate physical hazards may exist, * Master's Degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related field
 * 10+ years of hands-on experience with flight controller integration and UAV software and hardware development
 * Proficiency in Linux (Ubuntu)
 * Background in real-time embedded systems and FPGA-based AI acceleration
 * Familiarity with mission planning tools (QGroundControl, Mission Planner) and UAV test/validation procedures
 * Hands-on experience with hardware debugging tools (oscilloscopes, logic analyzers, protocol sniffers)
 * Active DoD Top Secret Clearance

## Description

We are seeking a highly skilled engineer to spearhead the development of unmanned navigation and control technologies, with emphasis on flight controller integration, autonomous navigation, and AI-driven edge processing. This role involves developing and configuring flight control systems, integrating sensors, optimizing embedded software, and deploying AI models on embedded platforms. The ideal candidate will collaborate across hardware, software, and AI teams to advance the boundaries of autonomous aerial systems., * Configure and integrate flight controllers (PX4, ArduPilot) with various UAV platforms such as CUBE

 * Perform firmware flashing, parameter tuning (PID adjustments, motor mapping, ESC calibration), and sensor integration (GPS, IMU, LiDAR, magnetometer, barometer)
 * Develop and optimize embedded software using C++, Python, ROS, and MAVLink for communication with Jetson-based AI/vision systems
 * Implement computer vision and AI-based perception for real-time object tracking and SLAM, leveraging OpenCV, TensorFlow, PyTorch, and DeepStream
 * Utilize CUDA programming to optimize neural network inference on Jetson platforms for efficient edge AI deployment
 * Establish reliable networking and telemetry solutions, integrating MAVLink over Wi-Fi/LTE/5G for command/control and GStreamer/RTSP for FPV video streaming
 * Collaborate with cross-functional teams to develop mission planning and autonomous navigation capabilities using QGroundControl and Mission Planner
 * Support remote control and monitoring solutions for UAV operations in field environments
 * Build and lead a team focused on unmanned system navigation and control technology


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