Senior Field Applications Engineer, AI Infrastructure Build - Execution

Role overview Lead hands-on field support for the rollout and initial operation of large AI computing infrastructure. You will work with deployment partners and internal technical teams to diagnose urgent issues, reduce delivery risk, and turn lessons from individual deployments into reusable practices. The role includes onsite work during bring-up, validation, and critical issue resolution.

Responsibilities - Support first deployments, system bring-up, validation, and troubleshooting alongside OEM and deployment teams. - Investigate issues across servers, GPUs, networking, storage, firmware, Linux, cabling, power, cooling, and deployment tools. - Reproduce failures, gather diagnostic evidence, isolate likely causes, and align issue owners on next steps. - Improve diagnostic procedures and test practices to shorten resolution time. - Review failed or returned equipment for recurring patterns and feed findings into corrective actions. - Document deployment lessons, readiness checks, troubleshooting guidance, and concise status updates for leaders.

Requirements - A degree in electrical, computer, systems engineering, computer science, or a related field, or equivalent experience. - At least five years in data center deployment, infrastructure integration, field or manufacturing support, partner services, or large-scale systems troubleshooting. - Practical experience diagnosing complex infrastructure issues across hardware, operating systems, connectivity, power, thermal, or deployment tooling. - Experience working directly with customers, OEMs, integrators, or deployment teams in field or production settings. - Strong structured debugging, evidence collection, written communication, and cross-team coordination skills. - Willingness to work onsite and travel up to 50% for deployments and partner support.

Nice to have - Experience with AI infrastructure, GPU clusters, accelerated computing, or high-performance computing deployments. - Familiarity with InfiniBand, RoCE, high-speed Ethernet, or large-scale cluster bring-up. - Skills in Linux, scripting, automation, telemetry, log analysis, diagnostic design, or failure trend analysis.