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Software Engineer 3 - Sensor Fusion and Perception

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AEVEX Aerospace

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Location:
United States , Tampa

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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

Additional Information:

Job Posted:
February 16, 2026

Employment Type:
Fulltime
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