Computer Vision Engineer

• Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams
• Take models from research and turn them into production-ready, reliable components deployed on vessels
• Optimize model inference using quantization, pruning, and graph-level optimization
• Profile and improve end-to-end system performance across multi-camera video ingestion, preprocessing, inference, and postprocessing
• Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination
• Make and justify tradeoffs between latency, accuracy, stability, and resource utilization
• Design and implement robust data and inference pipelines from video to actionable output for crew
• Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating
• Build and improve observability tools and debugging workflows for production systems
• Define and maintain clear interfaces between research code and production systems
• Work closely with research and backend teams to integrate new models into production systems
• Continuously improve system efficiency and reliability under hardware and runtime constraints

Explore Edge Computer Vision Engineer at Orca AI. Review requirements and application details.