Senior Product Architect, K8s-Based AI Infrastructure

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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👻 Ghost score 1%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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, focusing on scale, diagnosing bottlenecks, and driving performance innovations • Iterate and refine designs based on feedback, testing results, and evolving requirements • Collaborate with internal hardware, software, security, and systems teams to integrate networking, compute, and storage ecosystems • Work with partners and customers to conceptualize solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs) • Provide comprehensive product design documentation, including technical specifications and user guides • Develop whitepapers, blogs, and curriculum for customers, partners, and users

🎯 Requirements

• 8+ years of experience architecting datacenter-scale HPC or AI infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent • Bachelors 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 • A passion for staying updated with the latest technological advancements in AI and related fields • Prior first-hand experience 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

🏖️ Benefits

• Equity • Benefits