Computer Vision AI Engineer (NVIDIA Ecosystem Expert)

At Logic Clutch, we’re building cutting-edge Vision AI products, including our flagship platform LogicEye – redefining surveillance, industrial automation, and workplace safety through intelligent camera systems.

We’re looking for a Computer Vision AI Engineer who is hands-on with the NVIDIA ecosystem and passionate about building real-time, edge-based intelligent video analytics systems.

What You'll Work On

• Develop and deploy real-time CV pipelines using NVIDIA DeepStream, VPI, TensorRT, and JetPack on Jetson (Nano, Xavier, Orin) devices
• Integrate CV models with low-latency streaming and edge inferencing frameworks
• Optimize AI models for edge inference (YOLO, SSD, custom CNNs)
• Collaborate with AI, Embedded, and Backend teams for full-stack vision system integration.

Required Skills

• Strong experience with NVIDIA DeepStream SDK, JetPack SDK, Triton Inference Server, TensorRT, CUDA
• Experience deploying AI models on Jetson Nano / Xavier / Orin
• Hands-on with OpenCV, GStreamer, Python/C++
• Familiarity with ONNX conversion, model quantization and performance benchmarking
• Bonus: Experience with custom hardware (USB cameras, CSI cameras, industrial sensors)

Ready to build real-world Vision AI?

Apply now or refer someone you know!

📧 info@logicclutch.com