Nvidia Solutions Architect

EY GDS Poland is part of the global EY integrated service delivery network operating across multiple countries. EY provides a wide variety of career opportunities, collaborating on projects with global brands and spanning various business disciplines.

• 8+ years of experience in infrastructure and software engineering with at least 2–3 years working with NVIDIA technologies.
• Hands-on experience with Python, C++, Linux, PyTorch, OpenCV, and modern computer vision models like YOLO, SAM, and vision-language models (VLMs).
• Experience with NVIDIA NIM, NeMo Agent Core, NeMo Guardrails, NeMo Retriever, TensorRT, and TensorRT-LLM.
• Expertise in designing multi-agent architectures and agent orchestration patterns.
• Familiarity with Kubernetes, Docker, NVIDIA GPU Operator, KServe, cloud platforms, and GPU environments such as DGX or InfiniBand.

Nice to have:

• Experience with Kafka, GStreamer, RTSP streaming architectures, and DeepStream SDK for real-time video analytics.
• LLMOps/MLOps experience including model lifecycle governance and scalable deployment.
• Knowledge of AI security, guardrails design, knowledge graphs, and graph-based retrieval.
• Experience with multimodal AI platforms, GPU capacity planning, and performance tuning.
• Experience working in regulated enterprise environments.
• Customer-facing or consulting background with relevant NVIDIA or cloud certifications.

• Design and implement end-to-end AI architectures leveraging NVIDIA NIM, NeMo, DeepStream, and TensorRT.
• Build multi-agent and retrieval-augmented generation (RAG) systems using vector databases.
• Optimize inference performance and define GPU infrastructure.
• Collaborate cross-functionally to deliver robust, scalable AI solutions.
• Lead architecture for agent orchestration patterns and advanced RAG solutions.
• Support environments based on Kubernetes, Docker, and cloud platforms with GPU resources.
• Occasionally travel as required.

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