Company: Process Point Technologies
Location: Remote
Experience: 7+ years
Notice Period: Immediate joiners preferred
Shift: 2 PM – 11 PM IST (US overlap)

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
• D

📌 Computer Vision Engineer (India)
🏢 Process Point Technologies
📍 India