Required Skills & Experience

Strong background in computer vision, deep learning, and AI application development.
Proficiency in PyTorch, TensorFlow, or equivalent deep learning frameworks.
Hands-on experience with object detection, segmentation, tracking, video analytics, or related Vision AI applications.
Knowledge of MLLMs, VLMs, and foundation model adaptation for image, video, and text-based multimodal understanding.
Practical experience deploying AI models using ONNX, TensorRT, or similar inference optimization frameworks.
Hands-on experience with NVIDIA Metropolis and related vision AI deployment stacks such as DeepStream, TensorRT, or GPU-accelerated video analytics pipelines.
Proven experience developing and deploying commercial Vision AI solutions in production environments.
Strong programming skills in Python and familiarity with C++ for AI application development.

Preferred Skills

Experience with multimodal learning, vision-language models (VLMs), multimodal large language models (MLLMs), or foundation model adaptation.
Familiarity with Vision Agent concepts such as video question answering, video summarization, visual grounding, multimodal RAG, agentic tool use, and real-time interaction with video streams.
Experience with NVIDIA AI software stack, including CUDA, TensorRT, DeepStream, or related GPU acceleration technologies.
Familiarity with NVIDIA Isaac, NVIDIA Cosmos, and NVIDIA Omniverse for robotics, Physical AI, simulation, synthetic data, or digital-twin workflows is desired.
Experience with Docker, Kubernetes, or containerized AI deployment.
Background in real-time video processing, telecom systems, robotics, smart surveillance, autonomous systems, or Physical AI applications.

Education & Qualifications

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field.
Strong foundation in machine learning, deep learning, computer vision, or applied mathematics.

Hiring Companies

OAM Software Development Engineer