Computer Vision Engineer

Key Responsibilities :

- Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications.

- Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements

- Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision.

- Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals. Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints

- Documentation : Maintain code quality and document solutions for easy reference.

Qualifications :

- Experience : 3 or 3+ years in computer vision, deep learning, and AI.

- Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field.

Technical Skills :

- Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV.

- Understanding about depth and breadth of computer vision and deep learning algorithms.

- Knowledge of algorithms and data structures relevant to computer vision.

- Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier. (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)

- Concepts of parallel architecture on GPU is an added advantage.

- Knowledge in linear algebra, calculus, and statistics

- Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)