Nvidia Solutions Architect

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SeniorHybryda·WarszawaFull-time

#466445·Dodano wczoraj·3

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIGPURAGPython C++Linux PyTorchOpenCVKubernetes DockerCloud platformKafkaGstreamerSDKMLOpsSecurityPerformance tuningCloud

Podsumowanie oferty

Lead architecture for enterprise AI solutions powered by NVIDIA, including multi-agent systems, multimodal AI and real-time vision platforms. Design scalable AI systems using technologies such as NVIDIA NIM, NeMo, TensorRT and Python.

Wymagania

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 modern computer vision models such as YOLO, SAM or VLMs.
Experience with Kubernetes, Docker, NVIDIA GPU Operator, KServe, cloud platforms and GPU environments such as DGX or InfiniBand.
Strong architectural thinking, hands-on expertise, ability to translate business needs into complex AI systems, stakeholder communication and problem-solving in distributed GPU environments.

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 practices.
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, supported by relevant NVIDIA or cloud certifications.

Obowiązki

Design and implement end-to-end AI architectures leveraging NVIDIA NIM, NeMo, DeepStream and TensorRT.
Build multi-agent and RAG systems.
Optimize inference performance and define GPU infrastructure.
Collaborate cross-functionally to deliver robust, scalable, production-grade AI solutions.

Inne informacje

Occasional travel is required.

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