Applied Intuition
Perception Engineer, Autonomy (Air Domain)
$150K–$185K
Fort Walton Beach, FL · On-site · Full-time · Posted Oct 28, 2026
- Experience
- 3+ years building perception or estimation software for autonomous systems; elsewhere, the posting states 2+ years of industry experience.
- Education
- BS/MS in Electrical, Aerospace or Mechanical Engineering, Computer Science, Robotics, or a related field; elsewhere, it states a bachelor's degree in Computer Vision, Computer Science, Electrical Engineering, Robotics, or a related technical field.
- Visa sponsorship
- Must be a U.S. Citizen and must hold or be eligible to obtain and maintain a U.S. security clearance.
About the job
Build and deploy real-time perception software for uncrewed air vehicles, combining sensor data, tracking, estimation, and prediction.
What you'll do
- Develop and integrate AI/ML perception algorithms and software to control platform sensors.
- Deploy containerized solutions to embedded Linux devices and validate performance through simulation, testing, and profiling.
- Collaborate with sensor, tracking, autonomy, and DoD customer teams during testing and demonstrations.
What they ask for
- BS/MS in a related technical field plus 3+ years building perception or estimation software for autonomous systems; the posting also lists a bachelor's degree and 2+ years of industry experience.
- Modern C++ (17/20), Linux, linear algebra libraries, and profiling.
- Knowledge of state estimation, multi-target tracking, and heterogeneous sensor fusion.
- Machine learning for prediction, Python data analysis, and algorithm validation using simulation and recorded data.
Nice to have
- Experience with online real-time learning or adaptive control and learning-based estimation.
- Experience with delayed or sparse feedback, agent behavior prediction, or deploying small neural networks in C++ under tight resource limits.
Pay
$150K – $185K USD base salary
Tools
C++ (17/20), Linux, Eigen, EKF/UKF, IMM, RNN/LSTM, transformers, Python
AI focus
Develop and adapt AI/ML perception and prediction algorithms, including models that may learn online from limited or delayed feedback.
Model-written summary · the original posting is authoritative