AI Infrastructure Solutions Architect

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Submer

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🔧 Hardware

⚡ Energy

🤝 B2B

Hardware • Energy • B2B

Submer is a provider of connected intelligence for AI infrastructure, specializing in advanced liquid/immersion cooling and modular data-center solutions. They design, build and operate AI-ready environments (from power and land to cloud and edge), manufacture immersion cooling pods (SmartPod EVO/EXO), and offer GPUaaS/AIaaS and modular deployment services. Submer emphasizes energy and water savings, high-density thermal architectures for demanding AI workloads, and sovereign-ready, globally deployable solutions.

📋 Description

• Partner with Sales to qualify AI infrastructure opportunities • Engage customers to understand AI workloads, performance expectations, scalability requirements, and operational objectives • Conduct technical discovery workshops and architecture discussions • Prepare technical proposals, presentations, and solution demonstrations • Support RFI, RFP, and RFQ responses • Serve as trusted technical advisor throughout the sales lifecycle • Design end-to-end AI infrastructure solutions including GPU compute clusters, AI Factory infrastructure, HPC platforms, storage, networking fabrics, Kubernetes/container platforms, AI software integration, security, monitoring, automation, and expansion planning • Develop solution architectures, infrastructure sizing, Bills of Materials, reference architectures, technical specifications, solution documentation, and deployment architectures • Coordinate AI infrastructure integration with data-center power, cooling, space, rack, cabling, liquid-cooling, CDU, and expansion requirements • Collaborate with Delivery and Engineering on design reviews, OEM interoperability, deployment and installation readiness, acceptance planning, commissioning, and technical handover • Design for serviceability, scalability, high availability, redundancy, monitoring, capacity management, firmware lifecycle, upgrades, observability, and operational support • Act as the primary technical interface for AI infrastructure discussions across internal teams, partners, integrators, and customers

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Electronics, Electrical Engineering, or a related discipline • 8–15 years of experience in enterprise infrastructure, HPC, AI infrastructure, or solution architecture • At least 5 years in a customer-facing Presales or Solutions Architecture role • Experience designing GPU-based AI infrastructure and high-density compute environments is highly desirable • Master’s degree is preferred • Preferred certifications include NVIDIA Certified Professional or equivalent, AWS Solutions Architect, Microsoft Azure Solutions Architect, Red Hat OpenShift, VMware VCP, Cisco CCNP/CCIE, Kubernetes CKA/CKAD, and ITIL Foundation • Knowledge of NVIDIA, AMD, and Intel GPU platforms • Expertise in GPU cluster design, AI Factory architectures, and HPC infrastructure • Knowledge of Ethernet, InfiniBand, RoCE, Spine-Leaf architectures, and AI fabric design • Knowledge of parallel file systems, high-performance NAS, object storage, NVMe-over-Fabrics, and AI data pipelines • Proficiency with Kubernetes, Docker, Slurm, NVIDIA AI Enterprise, GPU scheduling, cluster management, and infrastructure automation • Knowledge of server platforms, rack integration, infrastructure sizing, high-density deployments, liquid-cooled server technologies, infrastructure monitoring, and DCIM integration • Technical presales, solution consulting, proposal development, technical bid management, customer engagement, and executive presentations

🏖️ Benefits

• Attractive compensation package reflecting your expertise and experience • A great work environment characterized by friendliness, international diversity, flexibility, and a hybrid-friendly approach • Exciting career evolution at a fast-growing scale-up • Equal opportunity employment environment