Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 7
Agentic AI
Ansible @ 4
Communication @ 9
Deep Learning
DevOps @ 4
HPC @ 8
Kubernetes @ 4
Networking
Python @ 4
RAG @ 3
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Role description
NVIDIA is seeking a visionary Product Architect with strong expertise in systems architecture to design and shape the architectures that connect the world’s most powerful AI clusters. You will design and oversee the development of cutting-edge AI solutions from conception through their entire lifecycle, balancing technical feasibility with user needs and market demands.
Responsibilities
- Stay at the forefront of technology trends in AI Infrastructure & Agentic AI, proposing new product concepts
- Define detailed product architectures, including performance, scalability, interoperability, and datacenter deployment requirements
- Lead prototyping and testing processes to validate product design and functionality, with a focus on scale, diagnosing bottlenecks and driving innovations in performance
- Iterate and refine designs based on feedback, testing results, and evolving requirements
- Collaborate with internal hardware, software, security and systems teams to ensure flawless integration of networking, compute and storage ecosystems
- Work closely with partners and customers to conceptualize ideal solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs) that demonstrate your vision
- Provide comprehensive documentation for product designs, including technical specifications and user guides
- Develop targeted content such as whitepapers, blogs, and curriculum for customers, partners, and users
Requirements
- 12+ years of experience architecting datacenter-scale HPC or AI infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent
- Bachelor’s degree in computer science or related field (or equivalent experience)
- Strong background in technologies that enable large scale infrastructure management of complex systems, networks, and storage
- Extensive experience with DevOps solutions, including Python, Ansible, Container Runtimes, Kubernetes, and data center deployments
- Familiarity with AI workloads, including agentic & RAG-based workflows, inference at scale, large scale training & fine-tuning, and model evaluation
- Exceptional communication skills, with the ability to translate complex technical details for diverse audiences
- Passion for staying updated with the latest technological advancements in AI and related fields
Ways to stand out from the crowd
- Prior first-hand experience on having built large scale AI infrastructure
- Advanced certifications or publications in AI, deep learning, or related fields
- Experience leading high-impact projects or initiatives in cutting-edge tech domains
Compensation and application notes
- Base salary range: 224,000 USD - 356,500 USD
- You will also be eligible for equity and benefits.
- Applications accepted at least until August 2, 2026.
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