Computer Vision Software Engineer, Mid

What you'll do

• Develop and implement computer vision algorithms for target detection and tracking.
• Build and maintain model training pipelines using Python or C++.
• Apply deep learning approaches, including transformer-based architectures, to image understanding problems.
• Integrate classical estimation methods with modern deep learning workflows for real-time algorithm development.
• Contribute to GPU-accelerated model development using CUDA or RAPIDS.
• Support the implementation of microservice-based inference pipelines under senior guidance.
• Collaborate on architecture and implementation of multi-sensor platform detection algorithms.

What we're looking for

• 3+ years of experience developing computer vision algorithms for detection and tracking in remote sensing environments.
• 1+ year of applying deep learning to CV problems using transformer-based architectures like DINO, CLIP, or SAM.
• Experience building pipelines in Python or C++ for algorithm development, training, evaluation, and deployment.
• Proficiency with GPU-accelerated workflows including CUDA or RAPIDS.
• Knowledge of classical tracking methods such as Kalman filters for real-time applications.