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We are a multidisciplinary R&D team focused on developing autonomous navigation solutions for GPS denied environments, merging state-of-the-art techniques from sensor fusion, computer vision, and PNT (Position, Navigation, and Timing) technologies. Our algorithms support real-time state estimation for autonomous platforms using data from cameras, IMUs, LiDAR, radar, and non-traditional sensors. We're looking for an experienced engineer to take a leading role in designing and implementing navigation algorithms, working alongside experts in autonomy, perception, and embedded systems to deliver robust, mission-critical software for real-world autonomous systems.
Job Responsibility:
Design, implement, and deploy robust sensor fusion and state estimation algorithms for autonomous navigation in degraded GPS environments
Lead development of perception and localization systems that integrate data from vision, IMU, GNSS, and alternative navigation sensors
Develop and optimize algorithms for real-time performance on embedded and edge compute platforms (e.g., Jetson, FPGA, ARM SoCs)
Perform simulation-based validation and hardware-in-the-loop testing using environments such as ROS, Gazebo, or CARLA
Drive research into emerging techniques, including deep learning for perception and SLAM, and assess applicability to navigation problems
Mentor junior engineers and contribute to project planning, code reviews, and system integration efforts
Interface with internal and external collaborators to support test campaigns, data collection, and field evaluations
Perform other duties as required
Regular and reliable attendance on a full time basis [or in accordance with posted schedule]
Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices
Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture
Requirements:
Proficiency with sensor fusion algorithms (e.g., EKF, UKF, factor graphs, SLAM) and navigation concepts (inertial navigation, visual odometry, GPS-denied PNT)
Advanced programming skills in C++, Python, and/or MATLAB, with familiarity in modern development workflows (Git, CI/CD)
Strong problem-solving skills and ability to analyze large datasets from multi-sensor systems
Familiarity with open-source navigation and SLAM frameworks (e.g., ORB-SLAM, VINS-Mono, GTSAM, Cartographer)
Demonstrated ability to write technical documentation, reports, or publications
Bachelor’s Degree in computer Engineering, Robotics, Electrical Engineering, Aerospace Engineering, or a closely related field
5+ years of relevant industry or research experience in robotics, autonomous systems, or navigation algorithm development
Experience with computer vision and ML frameworks such as OpenCV, PyTorch, or TensorFlow
Experience with embedded systems, real-time computing, and deploying algorithms to fielded platforms
Experience leading or significantly contributing to R&D projects involving autonomy or robotics
Experience with robotics middleware (ROS/ROS2) and simulation environments (Gazebo, CARLA)
Background in aerospace, defense, or autonomous ground/aerial vehicle development
Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required
Nice to have:
Highly preferred Master’s or PhD in Computer Engineering, Robotics, Electrical Engineering, Aerospace Engineering, or a closely related field
What we offer:
401(k)-retirement plan
comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company
professional development funds
an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees