Software Engineer 3 - Sensor Fusion and Perception

AEVEX • Dayton, OH

20d

About The Position

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.

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.
• Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.

Nice To Haves

• Highly preferred Master’s or PhD in Computer Engineering, Robotics, Electrical Engineering, Aerospace Engineering, or a closely related field.
• 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.

Responsibilities

• 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.

Benefits

• AEVEX provides a full suite of comprehensive benefits, including a 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, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees