{"schemaVersion":"jobsearcher.job.v1","id":"afafccb999823cf6ba8ee428","url":"https://jobsearcher.com/jobs/afafccb999823cf6ba8ee428","canonicalUrl":"https://jobsearcher.com/jobs/afafccb999823cf6ba8ee428","title":"Computer Vision Engineer","description":"Location: Remote, May need to travel once in while to plants with in USA or other countries like Brazil and Canada.Duration: 6+Months Role Overview You will take computer vision models from development to real-time production on NVIDIA Jetson Orin edge devices, supporting process control, safety, and quality use cases in industrial plant operations. On-device performance, latency, and long-run stability matter as much as model accuracy. Key Responsibilities Edge Model Optimization & Deployment • Convert and optimize PyTorch vision models (detection, segmentation, classification) to ONNX and TensorRT for Jetson Orin • Package inference workloads as Docker containers on JetPack/L4T (ARM64) with reproducible builds and deployments • Work with data scientists to make models edge-ready (input sizing, architecture trade-offs, pre/post-processing) Real-Time Video Pipelines • Build and tune low-latency RTSP/GStreamer pipelines using hardware decode and zero-copy (NVMM) memory • Develop DeepStream pipelines, including custom C++ parsers/plugins for non-standard model outputs • Write performance-critical components in C++ and CUDA; use Python for integration and tooling • Deliver model outputs to downstream systems (alerts, dashboards, PLC/control-system interfaces) Validation, Profiling & Production Support • Profile latency, throughput, GPU/CPU/memory utilization, and thermals (Nsight Systems, tegrastats) and remove bottlenecks • Engineer for 24/7 stability: stream reconnection, watchdogs, backpressure, frame-drop control, logging, and health monitoring • Remotely support field testing and troubleshooting of deployed systems • Document deployment procedures, configurations, and runbooks Must Have • Computer vision / ML engineering experience with models delivered to edge or embedded systems in production • Hands-on NVIDIA Jetson Orin (AGX Orin / Orin NX / Orin Nano) • Model optimization and deployment with TensorRT and ONNX • Python and PyTorch • Docker on ARM64 / JetPack / L4T • Profiling and tuning for latency and long-running stability on constrained hardware • Strong communication skills for working directly with client operations, automation, and IT/OT teams Good to Have • NVIDIA DeepStream SDK, including custom plugins or output parsers • CUDA and C++ • RTSP/GStreamer pipelines with IP cameras • Industrial domain experience (mining, chemicals, manufacturing, energy) and OT integration (PLC, OPC UA, Modbus) • Edge hardware and camera selection for remote sites • Fleet management, remote updates, or monitoring for multiple edge devices • Experience with enterprise change control and cybersecurity review processes Key Skills: Computer Vision | NVIDIA Jetson | TensorRT | ONNX | DeepStream | CUDA | C++ | Python | PyTorch | GStreamer | Docker | Edge Deployment","company":"Process Point Technologies","rawCompany":"process point technologies","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-10T08:35:03.691Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Engineer","description":"Location: Remote, May need to travel once in while to plants with in USA or other countries like Brazil and Canada.Duration: 6+Months Role Overview You will take computer vision models from development to real-time production on NVIDIA Jetson Orin edge devices, supporting process control, safety, and quality use cases in industrial plant operations. On-device performance, latency, and long-run stability matter as much as model accuracy. Key Responsibilities Edge Model Optimization & Deployment • Convert and optimize PyTorch vision models (detection, segmentation, classification) to ONNX and TensorRT for Jetson Orin • Package inference workloads as Docker containers on JetPack/L4T (ARM64) with reproducible builds and deployments • Work with data scientists to make models edge-ready (input sizing, architecture trade-offs, pre/post-processing) Real-Time Video Pipelines • Build and tune low-latency RTSP/GStreamer pipelines using hardware decode and zero-copy (NVMM) memory • Develop DeepStream pipelines, including custom C++ parsers/plugins for non-standard model outputs • Write performance-critical components in C++ and CUDA; use Python for integration and tooling • Deliver model outputs to downstream systems (alerts, dashboards, PLC/control-system interfaces) Validation, Profiling & Production Support • Profile latency, throughput, GPU/CPU/memory utilization, and thermals (Nsight Systems, tegrastats) and remove bottlenecks • Engineer for 24/7 stability: stream reconnection, watchdogs, backpressure, frame-drop control, logging, and health monitoring • Remotely support field testing and troubleshooting of deployed systems • Document deployment procedures, configurations, and runbooks Must Have • Computer vision / ML engineering experience with models delivered to edge or embedded systems in production • Hands-on NVIDIA Jetson Orin (AGX Orin / Orin NX / Orin Nano) • Model optimization and deployment with TensorRT and ONNX • Python and PyTorch • Docker on ARM64 / JetPack / L4T • Profiling and tuning for latency and long-running stability on constrained hardware • Strong communication skills for working directly with client operations, automation, and IT/OT teams Good to Have • NVIDIA DeepStream SDK, including custom plugins or output parsers • CUDA and C++ • RTSP/GStreamer pipelines with IP cameras • Industrial domain experience (mining, chemicals, manufacturing, energy) and OT integration (PLC, OPC UA, Modbus) • Edge hardware and camera selection for remote sites • Fleet management, remote updates, or monitoring for multiple edge devices • Experience with enterprise change control and cybersecurity review processes Key Skills: Computer Vision | NVIDIA Jetson | TensorRT | ONNX | DeepStream | CUDA | C++ | Python | PyTorch | GStreamer | Docker | Edge Deployment","datePosted":"2026-10-10T08:35:03.691Z","dateModified":"2026-10-10T08:35:03.691Z","hiringOrganization":{"@type":"Organization","name":"Process Point Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"afafccb999823cf6ba8ee428"},"url":"https://jobsearcher.com/jobs/afafccb999823cf6ba8ee428"}}