Senior Solutions Architect, AI and HPC Infrastructure - Remote
$184,000 - $356,500 USD yearly
Originally posted 20 October 2026 by the employer.
About the role
The role serves as a technical advisor for GPU and networking systems, cluster design, orchestration, validation, and production deployment across data center and edge environments.
What you'll do
- Partner with energy-sector customers, ISVs, and account teams on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance for AI infrastructure. - Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations for energy-sector AI workloads. - Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight. - Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers. - Travel up to 20% for customer meetings as required.
What you'll need
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, other Engineering, or related field (or equivalent experience). - In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines. - Understanding of data center networking technologies such as InfiniBand, Ethernet, RDMA, network configuration, and performance tuning. - Familiarity with infrastructure requirements for AI workloads, including distributed training, inference serving, model deployment, storage performance, and cluster reliability. - Working knowledge of one or more energy sectors (power generation, oil & gas, transmission and distribution / grid, or renewables) and their operational and IT environments.
Skills: solutions architect, GPU clusters, AI infrastructure, POC, InfiniBand