Machine Learning Systems Engineer II

Scientific Applications & Research Associates, Inc. (SARA) is a world-class Defense Research and Development enterprise with more than 35 years of proven innovation. We create new and emerging technology solutions in support of Commercial & Government organizations, with expertise in RF, EMP, Pulsed Power, Acoustics, and Threat Warning Systems. As an Employee‑Owned company, every team member has a personal stake in the success of our mission, fostering a culture of collaboration, accountability, and innovation.

At SARA, you'll have the opportunity to work alongside talented engineers, physicists, and technicians while making a direct impact on programs that matter.

The SARA High Power Electromagnetics Division (HPEM) is looking for a remarkably talented, motivated, and imaginative Unmanned Aerial Systems (UAS)/ Guidance, Navigation, and Control (GNC) Engineer to support research and development activities and transition innovative technologies to the DoD, DoE, and their contractors in Colorado Springs, CO. The candidate will have the opportunity to grow and learn with talented engineers, physicists, and technicians on both long‑standing programs and new initiatives, contributing in a multidisciplinary environment from concept through operation.

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, Ardu Pilot) 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, Tensor Flow, PyTorch, and Deep Stream
• 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 QGround
  
  Control 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

• 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, Deep Stream 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, Ardu Pilot, 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
• U.S. Citizen with the ability to obtain and maintain DoD security clearance
• Must be able to perform moderate physical effort, including standing, sitting, using hands, and lifting up to 50 pounds
• Must work in an indoor, moderately quiet, reasonably clean, well‑lit, and well‑ventilated environment with moderate physical hazards

• Master's Degree in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or related field
• 10+ years of hands‑on experience with flight controller…