Design and implement end-to-end AI architectures leveraging NVIDIA technologies.
Build multi-agent and RAG systems.
Optimize inference performance.
Define GPU infrastructure and collaborate cross-functionally to deliver robust AI solutions.

8+ years of experience in infrastructure and software engineering.
2-3 years experience 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 and advanced RAG solutions using vector databases.
Strong skills in Python, C++, Linux, PyTorch and OpenCV.
Experience with modern CV models such as YOLO, SAM or VLMs.
Familiarity with Kubernetes, Docker, NVIDIA GPU Operator, KServe, and cloud platforms.
Willingness to travel occasionally.

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.

Solutions Architect

Key skills