Key Responsibilities

• Design and deploy computer vision applications for image and video analysis
• Develop algorithms for object detection, image segmentation, and facial recognition
• Train and fine-tune convolutional neural networks (CNNs)
• Optimize vision models to run efficiently on edge devices and mobile
• Build robust data pipelines for handling massive image datasets
• Collaborate with hardware teams for camera and sensor integration

Required Skills & Qualifications

• Expert proficiency in Python and C++
• Deep experience with OpenCV and image processing techniques
• Strong background in deep learning frameworks (PyTorch, TensorFlow)
• Knowledge of CNNs, YOLO, ResNet, and Vision Transformers
• Solid mathematical foundation in geometry, calculus, and linear algebra
• Experience with data augmentation and synthetic data generation

Preferred Qualifications (Nice to Have)

• Experience with edge AI deployment (TensorRT, ONNX, CoreML)
• Familiarity with 3D computer vision and LiDAR processing
• Knowledge of generative models for images (GANs, Diffusion models)
• Experience in medical imaging or satellite imagery
• Familiarity with embedded systems (NVIDIA Jetson, Raspberry Pi)
• Strong research and prototyping skills

Tech Stack & Tools

OpenCVPythonC++PyTorchCUDATensorRTYOLODockerAWSGit

Compensation & Benefits

• Salary Range: $115,000 - $180,000
• Work Setup: Remote, Hybrid, On-site
• Comprehensive Health, Vision, and Dental insurance.
• 401(k) matching and unlimited PTO.