The HPC AI Network Technologist designs, implements, and optimizes high-performance network infrastructure for HPC and AI workloads. This role involves consulting with clients, managing research computing environments, and ensuring scalable and secure network solutions.
The Relationship Manager will prospect and cultivate new enterprise client relationships while managing existing accounts across academia and Fortune 500 sectors. They will act as a commercial conductor, partnering with pre-sales engineering teams to design and deliver complex, multi-vendor infrastructure solutions.
The Relationship Manager will prospect and cultivate new enterprise client relationships while managing existing accounts across various sectors. They will act as a commercial conductor, partnering with pre-sales engineering teams to design and deliver complex, multi-vendor infrastructure solutions.
The Relationship Manager will hunt and cultivate new enterprise client relationships while managing existing accounts across academia and Fortune 500 sectors. They will act as a commercial conductor, partnering with pre-sales engineering teams to design and propose complex, multi-vendor infrastructure solutions.
The technician is responsible for building end-to-end high-performance compute and AI solutions by installing, cabling, and configuring hardware at remote client locations. They must also document installation processes and provide expert technical recommendations to meet client needs.
The role focuses on building High Performance Computing, Enterprise IT, and End User solutions by partnering with sales managers and architects. Responsibilities include conducting technology research, creating technical proposals, and managing vendor relationships.
The HPC AI Technologist will gather client requirements and design optimized solutions, deploying new or augmenting existing HPC/AI solutions. They will also consult on day-to-day management of clients’ research compute infrastructure environments.
The HPC AI Technologist will gather client requirements and design optimized solutions for research computing systems. They will also deploy new solutions and assist with the management of clients' research compute infrastructure.
