Nvidia Solutions Architect

2 days ago

Warsaw, PolandSenior

Responsibilities

Design and implement end-to-end AI architectures using NVIDIA NIM, NeMo, DeepStream, and TensorRT.
Build multi-agent and RAG systems, optimize inference performance, and define GPU infrastructure.
Deliver scalable, reliable, production-grade AI solutions for enterprise use cases.
Collaborate cross-functionally and translate business requirements into complex AI systems.
Support multimodal AI, real-time vision, digital twin, simulation, robotics, and physical AI initiatives.
Plan GPU capacity and tune performance in distributed GPU environments.

8+ years of experience in infrastructure and software engineering, including 2–3 years with NVIDIA technologies.
Hands-on expertise with NVIDIA NIM, NeMo Agent Core, NeMo Guardrails, NeMo Retriever, TensorRT, and TensorRT-LLM.
Experience designing multi-agent architectures, agent orchestration patterns, and advanced RAG solutions using vector databases.
Strong Python, C++, Linux, PyTorch, and OpenCV skills, including experience with YOLO, SAM, or VLMs.
Experience with Kubernetes, Docker, NVIDIA GPU Operator, KServe, cloud platforms, DGX, or InfiniBand.
Willingness to travel occasionally.
Preferred experience with Kafka, GStreamer, RTSP streaming architectures, DeepStream SDK, LLMOps/MLOps, AI security, guardrails, knowledge graphs, graph-based retrieval, multimodal AI, GPU capacity planning, performance tuning, and regulated enterprise environments.
Customer-facing or consulting experience and relevant NVIDIA or cloud certifications are preferred.

Hybrid work arrangement with two days in the office and three days remote in Wrocław, Katowice, or Warsaw.
Continuous learning, professional development, coaching, and access to a global ecosystem of people, skills, and insights.
Opportunity to collaborate with EY teams across global locations, service lines, geographies, sectors, and well-known brands.
Diverse and inclusive culture with flexibility to make a meaningful impact.

10,000+ employees