Description

You will develop vision pipelines to analyze RGB and 3D camera streams for detecting human key markers and health analytics on resource-constrained embedded systems.

This role is on-site.

Responsibilities

• Lead data-collection campaigns by setting up annotated video datasets under varied lighting conditions.
• Build and iterate on computer vision pipelines in Python using OpenCV or neural networks to track movement, posture, and breathing.
• Analyze 3D and RGB vision data to identify patterns.
• Cross-compile and deploy vision modules to ARM-based SoCs, optimizing for CPU/GPU constraints and power budgets.
• Translate scientific concepts like optical flow and signal extraction into code for embedded Linux.

Required Skills

• 5+ years of experience in Computer Vision.
• Expert-level Python and OpenCV for image processing, filtering, optical flows, SVD, and PCA.
• Hands-on experience with deep learning frameworks including TensorFlow and PyTorch.
• Experience with model quantization for edge inference.
• Strong foundation in traditional DSP techniques and linear algebra.
• Ability to handle backend and embedded portions of a project independently.
• Proven track record of solving real-world vision problems and inventing novel algorithms.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate