Infrastructure Engineer

• Design GPU cluster architectures tailored for AI and HPC workloads.
• Define node configurations for diverse workload types including dense GPU nodes, cost-optimized nodes, and high-memory CPU nodes.
• Specify and validate performance metrics including compute throughput, memory bandwidth, and power consumption.
• Architect multi-tier interconnect networks using NVLink , InfiniBand, and high-speed Ethernet.
• Develop topology designs and calculate bandwidth and latency targets.
• Model performance for customer workloads and validate against industry benchmarks.
• Lead technical discussions with customer architects and stakeholders.
• Conduct workload sizing and architectural presentations.
• Develop technical content for proposals including BoMs, compliance matrices, and scoring alignment.
• Analyze competitor solutions and articulate technical differentiators.
• Design and expand lab infrastructure for AI workload testing and validation.
• Build reference architectures across industries such as finance, manufacturing, healthcare, and research.
• Support lab operations including cluster configuration, workload orchestration, and software stack maintenance.
• Deploy and showcase customer-specific AI workloads including LLM training, computer vision, and scientific simulations.
• Manage proof-of-concept projects, define success criteria, and present outcomes to stakeholders.
• Maintain relationships with key technology vendors and participate in early access programs.
• Evaluate emerging technologies and contribute to innovation roadmaps and adoption strategies.

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