Compute Systems Architect

What you'll do

• Own the end-to-end architecture of AI Factory tactical data centers from compute hardware through power and thermal systems.
• Design GPU-accelerated compute clusters optimized for AI inference and training workloads at the tactical edge.
• Engineer advanced thermal solutions like liquid or immersion cooling for high-density compute without traditional infrastructure.
• Design air-transportable, modular systems that are rapidly deployable in containerized, palletized, or vehicle-mounted formats.
• Build infrastructure optimized for extreme temperatures, limited grid power, and electromagnetic hardening in contested environments.
• Partner with defense customers to translate operational requirements into technical architectures.
• Lead prototyping, field testing, and operational validation through military exercises and real-world deployments.
• Drive systems from concept through production by coordinating across hardware, software, supply chain, and program teams.

What we're looking for

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.
• 5+ years of experience designing and deploying data center infrastructure, HPC clusters, large-scale compute systems, or tensor/accelerator compute nodes.
• 8+ years of engineering experience designing and deploying electrical products.
• Deep expertise in GPU-accelerated computing architecture for AI/ML workloads using NVIDIA, AMD, or similar platforms.
• Strong understanding of power distribution systems for high-density compute, including PDUs, UPS systems, generators, and energy management.
• Experience with thermal management for high-power-density systems, specifically liquid cooling and chiller systems.
• U.S. Person status required (U.S. citizen, permanent resident, refugee, or asylee).
• Ability to obtain and maintain a U.S. security clearance.