Computer Vision Engineer

• Mid-to-senior level experience in computer vision / ML engineering with proven delivery of models to embedded or edge vision systems in production.
• Hands-on experience with NVIDIA Jetson Orin (AGX Orin, Orin NX, or Orin Nano).
• Experience optimizing and deploying models with TensorRT and ONNX.
• Proficiency in Python and PyTorch.
• Docker containerization on ARM64 / JetPack / L4T.
• Experience profiling and tuning for latency and long-running stability on constrained hardware.
• Strong written and verbal communication; able to work directly with plant operations, automation, and IT/OT teams.

Desired Qualifications:

• Strong NVIDIA DeepStream SDK experience, including custom plugins or output parsers.
• Strong CUDA and C++ development skills.
• RTSP/GStreamer video pipeline development with IP cameras.
• Experience in industrial environments (mining, chemicals, manufacturing, energy) and with OT/control-system integration (PLC, OPC UA, Modbus).
• Familiarity with ruggedized camera and edge hardware selection, network and power constraints at remote sites.
• Experience with fleet management, remote updates, or monitoring for multiple edge devices.
• Ability to work within enterprise change-control (MOC) and cybersecurity review processes., * Computer vision: 3 years (Required)
• Machine Learning Engineering: 3 years (Required)
• NVIDIA Jetson Orin: 1 year (Required)
• Python: 3 years (Required)