Senior Computer Vision Software Engineer

What you'll do

• Develop and implement deep learning computer vision models focusing on sensor fusion and target tracking.
• Utilize GPU programming with CUDA or RAPIDs to optimize performance of real-time computer vision applications.
• Contribute to the architecture and implementation of multi-sensor detection, tracking, and fusion systems.
• Design, test, and optimize algorithms for operational performance in constrained computing environments like multi-GPU servers.
• Collaborate on continuous integration/continuous deployment pipelines using Kubernetes or Jenkins for efficient development cycles.

What we're looking for

• 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion.
• Expertise in deep learning with transformer-based or self-supervised architectures applied to computer vision problems.
• Proficiency in implementing model pipelines and workflows using Python or C++.
• Knowledge of GPU-accelerated development techniques including CUDA, RAPIDS, or similar frameworks.
• Experience administering CI/CD pipelines using Kubernetes, Docker, or Jenkins for continuous integration/deployment.