NVIDIA AI Infrastructure Global Architect
Overview
Own the technical strategy for F5's largest NVIDIA-powered AI Factory deployments, shaping architecture from inception to production at global scale. 12+ years of senior technical leadership experience and 5+ years with GPU-accelerated environments anchor this role. You will partner with strategic sales, product, and engineering teams to drive adoption of Kubernetes and BNK in high-performance AI infrastructure. Working alongside NVIDIA field teams, you will translate complex technical challenges into measurable business outcomes. This role stands apart as a senior authority, influencing both customer roadmaps and F5's product direction.
What You'll Do8
- 1Serve as F5's senior technical authority for NVIDIA-based AI Factories, guiding customers on Kubernetes, GPU networking, and large-scale AI infrastructure architecture.
- 2Build trusted relationships with senior technical stakeholders, translating complex challenges into business outcomes that accelerate time-to-value.
- 3Drive technical strategy with Account Executives and Alliance Teams, aligning NVIDIA and F5 technologies to secure strategic opportunities.
- 4Design and validate AI Factory architectures, including GPU-as-a-Service platforms and multi-tenant Kubernetes environments, leveraging NVIDIA BlueField DPUs and DOCA.
- 5Lead customer workshops and architecture sessions to influence technology roadmaps and drive AI infrastructure modernization.
- 6Represent F5 at industry events and technical briefings, collaborating with NVIDIA field teams and ecosystem partners.
- 7Translate customer needs and market trends into actionable feedback for Product Management, shaping BNK and AI infrastructure roadmap priorities.
- 8Develop reference architectures, technical playbooks, and best practices for Kubernetes networking and AI workload delivery at scale.
Requirements7
- 112+ years in Solutions Architecture, Technical Consulting, or Systems Engineering, engaging senior stakeholders.
- 25+ years working with cloud-scale infrastructure, AI/ML platforms, high-performance computing (HPC), or GPU-accelerated environments.
- 3Deep expertise in Kubernetes, cloud-native architectures, container networking, and application delivery.
- 4Strong knowledge of data center networking, including Layer 2-7, BGP, EVPN, VXLAN, RDMA, and high-performance fabrics.
- 5Experience designing solutions with NVIDIA AI infrastructure, BlueField DPUs, GPU networking, or DOCA.
- 6Proven ability to influence technical strategy across customers, partners, and internal stakeholders.
- 7Exceptional communication and presentation skills for senior technical audiences.
Salary Insight
Salary not disclosed in listing
Location
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