Senior Product Architect, K8s-Based AI Infrastructure

This is a fully remote position, open to applicants in California.

📋 Description

• Remain at the cutting edge of technology trends in AI Infrastructure & Agentic AI by proposing innovative product concepts.

• Establish comprehensive product architectures that encompass performance, scalability, interoperability, and datacenter deployment requirements.

• Spearhead prototyping and testing initiatives to confirm product design and functionality, with an emphasis on scalability, identifying bottlenecks, and enhancing performance innovations.

• Continuously iterate and refine designs based on feedback, testing outcomes, and changing requirements.

• Collaborate with internal teams in hardware, software, security, and systems to integrate networking, compute, and storage ecosystems effectively.

• Partner with clients and customers to brainstorm solutions, developing proof-of-concepts (POCs) and minimum viable products (MVPs).

• Provide thorough product design documentation, which includes technical specifications and user manuals.

• Create whitepapers, blogs, and educational materials for customers, partners, and users.

⛳️ Requirements

• Over 8 years of experience in architecting datacenter-scale HPC or AI infrastructure in roles such as Principal Architect, Solutions Architect, Principal Engineer, or similar.

• Bachelor's degree in computer science or a related field (or equivalent experience).

• Strong expertise in technologies that facilitate large-scale infrastructure management of complex systems, networks, and storage solutions.

• Extensive experience with DevOps tools, including Python, Ansible, Container Runtimes, Kubernetes, and data center deployments.

• Familiarity with AI workloads, including agentic & RAG-based workflows, large-scale inference, training & fine-tuning, and model evaluation.

• Outstanding communication skills, capable of conveying complex technical information to varied audiences.

• A keen interest in keeping abreast of the latest technological advancements in AI and related sectors.

• Previous hands-on experience in building large-scale AI infrastructure.

• Advanced certifications or publications in AI, deep learning, or pertinent fields.

• Experience in leading high-impact projects or initiatives in progressive technology domains.

🏝️ Benefits

• Equity

• Benefits