Hiring.Camp

Edge Computer Vision Engineer

Orca Ai

·

Today

Workplace
Remote
Department
Engineering

Description

Orca AI builds AI-powered vision systems that enhance safety and decision-making for some of the world’s largest vessels. Our platform processes live multi-camera video to detect and track marine objects in real time, even in low visibility and congested waters. It's deployed on thousands of vessels and has processed hundreds of millions of nautical miles of real-world data.This is a senior, systems-focused role. You'll own the performance and reliability of our production computer vision pipelines on the edge: define the optimization strategy, find the bottlenecks across the system, and ship improvements with a direct, measurable impact on safety. You'll work close to the hardware.What you’ll doBuild and optimize real-time computer vision pipelines running on edge systems processing liSenior Software Engineer, Computer Vision (Edge / Real Time)ve maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server)Take models from research and turn them into production-ready, reliable components deployed on vesselsOptimize model inference using techniques such as quantization, pruning, and graph-level optimization (e.g., TensorRT, ONNX Runtime)Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessingIdentify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordinationMake and justify tradeoffs between latency, accuracy, stability, and resource utilizationDesign and implement robust data and inference pipelines (video -> model -> actionable output for crew)Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gatingBuild and improve observability tools and debugging workflows for production systemsDefine and maintain clear interfaces between research code and production systemsWork closely with research and backend teams to integrate new models into production systemsContinuously improve system efficiency and reliability under hardware and runtime constraints

Skills

Computer Vision

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