Nvidia Solutions Architect

EY; Wrocław; Hybrid; PLN 80,000 - 120,000; Full time

Benefits offered by this job

Continuous learning

Flexible work environment

Diverse and inclusive culture

Transformative leadership

Job summary

EY in Poland is looking for an experienced professional to shape next-generation AI solutions utilizing NVIDIA's advanced tools. The role involves designing scalable AI architectures, optimizing complex agentic systems, and implementing performance improvements.

The ideal candidate will have at least 8 years of relevant experience, including expertise in Python, C++, and deploying AI systems in cloud environments. Opportunities for both remote and office-based work are available.

Qualifications

• 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.
• Experience designing multi-agent architectures, agent orchestration patterns and advanced RAG solutions using vector databases.
• Strong Python, C++, Linux, PyTorch and OpenCV skills, including modern CV 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.
• Willingness to travel occasionally.

Responsibilities

• Design and implement end-to-end AI architectures leveraging NVIDIA NIM, NeMo, DeepStream, and TensorRT.
• Build multi-agent systems and optimize inference performance.
• Define GPU infrastructure and collaborate cross-functionally.

Job description

Location: Wrocław / Katowice / Warsaw - 2 days in office / 3 days remote

Opportunity

Join a high-impact role shaping next-generation enterprise AI solutions powered by NVIDIA. You will lead architecture for complex agentic systems, multimodal AI, and real-time vision platforms, working with advanced tooling to transform business use cases into scalable, high-performance AI products deployed at scale.

Key Responsibilities

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

Skills and Attributes for Success

Strong architectural thinking combined with deep hands‑on expertise, ability to translate business needs into complex AI systems, excellent stakeholder communication, problem‑solving in distributed GPU environments, and a pragmatic mindset focused on scalability, performance, reliability, and measurable business value.

Qualifications

• 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 CV 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.
• Willingness to travel occasionally.

Preferred Qualifications

• 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.

What We Look For

We value professionals passionate about NVIDIA’s Physical AI ecosystem—Omniverse, OpenUSD, Isaac Sim, and GPU‑accelerated robotics. If you thrive on building digital twins, simulating real‑world physics, and deploying AI policies to robots, this role is for you. You bring deep technical excellence with strong collaboration skills, enjoy solving complex spatial computing problems, and are excited about pushing the boundaries of simulation‑driven engineering. If you’re hands‑on, curious, and comfortable working across infrastructure, graphics, and robotics domains in a fast‑evolving NVIDIA stack, you will fit in well.

What We Offer

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY exists to build a better working world, helping to create long‑term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

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