Nvidia Senior Product Architect Cloud Native 

United States, Texas 

821316029

What you’ll be doing:

• Stay at the forefront of technology trends in AI Infrastructure, MLOps, and GenAI applications, proposing new product concepts

• Architect detailed product designs, including specifications for functionality, performance, and integrations

• Lead prototyping and testing processes to validate product design and functionality

• Iterate and refine designs based on feedback, testing results, and evolving requirements

• Coordinate with cross-functional teams to ensure seamless integration of various components and technologies

• 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

What we need to see:

• 12+ years working as a Solutions Architect, Software Engineer, Data Scientist, DevOps Engineer, or similarly technical role

• 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

• Expertise in Cloud Native Architectures, K8s Operators, Ansible, Go, Observability, Python, and Operationalizing AI workloads using tools like Kubeflow, KServe, or MLflow

• Familiarity end-to-end AI Systems, including agentic & RAG-based workflows, inference at scale, training & fine-tuning, data curation, and model evaluation

• Proactive contributions to open-source projects or active involvement in tech communities

• Exceptional communication skills, with the ability to translate complex technical details for diverse audiences

• A 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, and history of conference sessions relating to AI, cloud, or data center deployments

• Experience leading high-impact projects or initiatives in innovative tech domains

• Active Leadership in cloud native or AI related open source communities, and demonstrated ability to mentor and uplift junior team members or peers

• Unique problem-solving experience where unconventional thinking led to breakthrough solutions