Robotics and Autonomy Engineer

Location: Scottsdale, AZ Salary: $70.00 USD Hourly - $80.00 USD Hourly Description:

Title: Robotics/Autonomy Engineer

Type: Contract - 6+ Months

Location: Scottsdale, AZ - Fully onsite


Seeking a highly skilled Robotics/Autonomy Engineer - Computer Vision to lead the development and integration of advanced perception, vision-based navigation, and autonomy software for a small unmanned electric aircraft.

You will collaborate closely with flight software, aeromechanical, and avionics teams to deliver robust autonomy solutions for GPS-denied, contested, and complex operating environments from prototype through production. The position focuses on cutting-edge computer vision, sensor fusion, and real-time autonomy algorithms that enable resilient operations in austere conditions.
Key Responsibilities

• Design, develop, and optimize computer vision and ISP software for real-time robotic and UAV applications
• Develop computer vision algorithms for perception, navigation, target detection, and tracking in GPS-denied and contested environments
• Implement and maintain camera drivers, video pipelines, and hardware-accelerated vision algorithms
• Integrate vision systems with navigation, control, and autonomy software stacks
• Implement and validate autonomy capabilities using vision-based inputs and multi-sensor data
• Support sensor fusion, SLAM, obstacle avoidance, and autonomous navigation functionality
• Select, configure, integrate, and test vision sensors and compute payloads
• Ensure software solutions are scalable, maintainable, efficient, and production-ready
• Collaborate with hardware, systems, avionics, and autonomy engineers to deliver end-to-end solutions
• Troubleshoot and resolve system-level issues involving camera systems and vision pipelines
• Participate in field testing, data collection, performance analysis, and system refinement
• Document software architecture, algorithms, implementation details, and test procedures
• Stay current with emerging computer vision, machine learning, and hardware acceleration technologies

Technical Skills

• Strong understanding of image formation, filtering, feature extraction, segmentation, optical flow, object detection, tracking, and recognition
• Experience with camera calibration (intrinsic and extrinsic) and synchronization of multi-sensor data
• Proficiency with OpenCV, GStreamer, and V4L2
• Experience with hardware acceleration technologies including CUDA, SIMD, Vulkan, or similar frameworks
• Familiarity with Nvidia Jetson platforms, FPGAs, VPUs, Intel Movidius, and Coral TPU
• Experience with deep learning-based computer vision techniques including CNNs, transformers, and object detection/segmentation frameworks such as YOLO, Faster R-CNN, Mask R-CNN, DETR, and SAM
• Knowledge of classical computer vision algorithms including SIFT, SURF, ORB, HOG, Harris, and FAST
• Understanding of image and video stabilization, SLAM, and 3D reconstruction
• Experience with Docker and containerized development environments
• Proficiency with Git and CMake

Required Qualifications

• Bachelor's degree or higher in Computer Engineering, Electrical Engineering, Computer Science, Robotics, or a related field
• 5+ years of industry experience in computer vision, robotics, embedded systems, or related disciplines
• Proven experience developing image signal processing (ISP) and computer vision software
• Hands-on experience with MIPI Camera Serial Interface (CSI) and image sensor driver development
• Experience integrating and operating camera systems within UAVs or autonomous platforms
• Knowledge of video codecs such as H.264 and H.265
• Experience with video transmission technologies and protocols including RTSP and MPEG-TS
• Strong programming skills in C++, Python, and/or Rust

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.
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