Senior AI Compute & Networking Engineer

Department: Strategic Engineering | Reports to: James Trebesch, Head of Strategic Engineering | Employment: Full-Time Office Location: Palo Alto, California Proposed Annual Base Salary: $190,000–$250,000 Plus significant equity and comprehensive benefits. About the Role We are seeking a Senior AI Compute & Networking Engineer to lead the development and optimization of standardized GPU compute and networking infrastructure for AI data centers. This role owns compute and networking reference architectures, evaluates NVIDIA and other GPU platform requirements, and establishes repeatable cluster, network, and rack configurations that connect directly to physical facility requirements. The engineer will lead technical work with OEMs, vendors, integrators, and external consultants while collaborating with software teams to translate customer requirements into configuration logic, equipment selection, bills of materials, and procurement workflows. This is a systems engineering and infrastructure product role, not routine network administration. Key Responsibilities Compute & Networking Architecture Own Remanie’s AI compute and networking reference architectures, standards, and approved configurations. Develop reusable GPU cluster options based on workload, GPU platform, cluster size, networking, and expansion requirements. Evaluate NVIDIA DGX, HGX, DGX SuperPOD, rack-scale GPU systems, and emerging reference designs. Define training, inference, storage, and management network topologies, including bandwidth, latency, cabling, and connectivity. Standardize rack configurations, networking equipment, physical layouts, and interfaces with power and cooling. Translate compute decisions into electrical demand, heat rejection, liquid-cooling requirements, space planning, and facility interfaces. Optimize for performance, hardware utilization, capital cost, technical compatibility, availability, and deployment speed. Engineering Software & Procurement Development Translate customer GPU, workload, network, and expansion requirements into structured software inputs and configuration logic. Define hardware compatibility constraints, architecture-selection criteria, qualified equipment options, and cross-system dependencies. Support automated preliminary compute/network architecture, equipment schedules, bills of materials, and procurement packages. Incorporate OEM lead times, supplier availability, costs, and substitutions into equipment selection rules. Validate software-generated configurations against platform requirements and deployment constraints. Help build the requirements-to-configured-and-purchasable-data-center workflow; refresh software logic as technologies evolve. External Engineering, OEM & Vendor Leadership Direct equipment manufacturers, systems integrators, and external technical partners responsible for detailed design and implementation. Establish reference specifications, work scopes, technical integration criteria, and review requirements. Challenge OEM proposals, cluster configurations, network designs, and vendor assumptions. Identify and maintain approved equipment configurations and qualified alternative suppliers. Coordinate with facility engineering firms so compute requirements appear correctly in detailed electrical, mechanical, and civil designs. Standardize equipment installation, integration, testing, commissioning, and deployment requirements. Cross-Disciplinary Collaboration Work with electrical, mechanical, and civil disciplines to define integrated infrastructure products. Support customer technical discovery and evaluate implications of new GPU and networking generations. Incorporate deployment, commissioning, and operational feedback into revised reference systems. Required Qualifications Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related discipline, or equivalent practical experience. Significant AI compute, high-performance computing, hypers…

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