Global Field CTO

Key Responsibilities

• Establish Cornelis Networks as a recognized technical leader across AI, HPC, cloud, sovereign AI, and next-generation datacenter infrastructure markets.
• Influence customer technology strategies and architecture decisions through trusted advisor relationships.
• Accelerate adoption of Cornelis networking solutions through technical leadership, advocacy, and ecosystem engagement.
• Shape future product direction through direct engagement with customers, partners, and industry leaders.
• Expand market awareness and technical credibility for Cornelis Networks within the rapidly evolving AI infrastructure landscape.
• Elevate technical knowledge and customer engagement effectiveness across the broader organization.
• Serve as a senior technical spokesperson for Cornelis Networks at customer meetings, industry conferences, analyst briefings, webinars, podcasts, and ecosystem events.
• Develop and deliver compelling presentations, demonstrations, technical papers, blogs, and thought leadership content that communicate the value of Cornelis networking solutions.
• Engage deeply with strategic customers to understand technical challenges, workloads, infrastructure requirements, and long-term technology roadmaps.
• Drive advanced technical engagements with hyperscalers, next-generation cloud providers, OEM partners, research organizations, and enterprise customers.
• Collaborate closely with sales, product management, and engineering teams to support strategic opportunities, proof-of-concept activities, pilot deployments, and customer success initiatives.
• Identify emerging market opportunities, technology shifts, competitive threats, and workload trends that create new opportunities for Cornelis Networks.
• Provide input on technology strategy, product roadmaps, performance priorities, architectural decisions, and competitive positioning.
• Help validate next-generation networking architectures and identify future requirements for AI training, large-scale inference, and hyperscale infrastructure deployments.
• Coach and enable field teams on technical positioning, competitive differentiation, customer engagement, and industry trends.

Required Qualifications

• 15+ years of experience in networking, datacenter infrastructure, semiconductors, AI, HPC, cloud infrastructure, or related technology markets.
• Deep understanding of distributed computing architectures, networking technologies, and large-scale AI or HPC environments.
• Strong knowledge of Ethernet, InfiniBand, Ultra Ethernet, RDMA technologies, and modern scale-out networking architectures.
• Understanding of AI training, large-scale inference, AI factory architectures, GPU clusters, accelerated computing, and emerging datacenter trends.
• Experience engaging with executive leadership, architects, engineering teams, researchers, and technical decision makers at enterprise, cloud, research, and hyperscale organizations.
• Demonstrated ability to translate complex technical concepts into clear business and technology value.
• Experience presenting at industry conferences, customer events, analyst briefings, technical forums, or public speaking engagements.
• Prior experience with networking technologies such as Ultra Ethernet, InfiniBand, RoCE, HPC interconnects, or large-scale distributed AI systems.
• Existing relationships across hyperscalers, cloud providers, OEMs, research institutions, government laboratories, and AI infrastructure ecosystem partners.
• Experience working within high-growth technology companies bringing new infrastructure technologies to market.
• Recognized industry thought leader with experience publishing technical content, speaking at conferences, or influencing industry direction.

Preferred Qualifications

• Experience with AI training infrastructure, large-scale inference environments, AI factories, or sovereign AI initiatives.
• Prior experience with networking technologies such as Ultra Ethernet, InfiniBand, RoCE, HPC interconnects, or large-scale distributed AI systems.
• Existing relationships across hyperscalers, cloud providers, OEMs, research institutions, government laboratories, and AI infrastructure ecosystem partners.
• Experience working within high-growth technology companies bringing new infrastructure technologies to market.
• Recognized industry thought leader with experience publishing technical content, speaking at conferences, or influencing industry direction.