Seekr Technologies

Solutions Engineer

• Lead technical discovery sessions and workshops with strategic customers to gather requirements, assess workloads, and align hardware specifications to business goals.
• Develop system architectures for diverse setups, including standalone appliances, server-scale clusters, containerized environments (e.g., Kubernetes-based GPU deployments), and full data center integrations.
• Present recommendations, tradeoffs, and cost models to both technical and business stakeholders.
• Manage RFI/RFP responses, contributing technical details on hardware configurations and integration strategies.
• Design systems incorporating the latest GPU and upcoming advancements like next-gen accelerators, focusing on compatibility, performance, and energy efficiency.
• Specify power systems, including density planning, redundancy, and integration with facility infrastructure, while evaluating cooling options such as air-based (e.g., hot/cold aisle containment) versus liquid cooling (e.g., direct-to-chip or immersion techniques).
• Architect networking solutions, including Ethernet, InfiniBand, or RoCE fabrics, to support high-bandwidth, low-latency requirements for GPU-intensive workloads.
• Ensure designs account for reliability, security, and scalability, with a particular focus on containerized platforms like Kubernetes, GPU operators, and multi-tenancy configurations.
• Build, maintain, and optimize detailed BOMs, including component selection, pricing, compatibility matrices, and supply chain considerations to minimize risks and costs.
• Partner with chip manufacturers, VARs, and server OEMs to source components, negotiate terms, conduct POCs (proof-of-concept), and ensure seamless integration.
• Monitor vendor roadmaps for GPU innovations, firmware updates, and hardware trends to inform proactive solution recommendations.
• Oversee the implementation of hardware solutions, including rack design, burn-in testing, and performance validation for containerized environments.
• Develop deployment runbooks, acceptance criteria, and monitoring strategies to facilitate smooth handoffs to customer operations teams.
• Analyze and optimize solutions post-deployment, focusing on metrics like power efficiency, cooling effectiveness, and network throughput to enhance long-term value.
• Collaborate with sales and business teams to create pricing strategies, and competitive positioning
• Contribute to internal knowledge sharing by developing reference architectures, sizing guides, and best practices for containerized GPU workloads.
• Stay ahead of industry trends, such as emerging GPU standards and sustainable data center practices, to refine offerings and support customer growth.

Hardware Solutions Architect