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Fluency Digital, Inc. is seeking an on-site Computer Vision Engineer to deploy real-time inspection systems on manufacturing lines. You'll bridge research and rugged hardware, turning CV models into fast, reliable edge inferences that keep production moving.
You'll work with PyTorch or TensorFlow, Python, OpenCV, and cloud training on AWS/GCP, while collaborating closely with hardware engineers to optimize latency, accuracy, and robustness in harsh factory environments.
An early-stage team deploying AI vision systems directly on manufacturing lines.
You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role, you will build and optimize computer vision pipelines that inspect products in real-time, turning raw camera feeds into immediate quality decisions. Your work moves beyond standard benchmarks to solve unique optical challenges where latency and precision directly impact production throughput.
Python, PyTorch, TensorFlow, AWS, GCP, OpenCV