AI Infrastructure Lead

AI Infrastructure Lead

Location: Remote, California

Travel: Approximately 20% to 30%

Our client, an emerging innovator in AI infrastructure, is seeking an AI Infrastructure Lead to help shape the next generation of high-performance computing environments. This is a rare opportunity to join a growing technology venture at an early stage, take ownership of mission-critical GPU infrastructure, and influence how advanced AI workloads are deployed and supported at scale. With direct access to company leadership, meaningful technical autonomy, and equity participation, this role offers the opportunity to turn ambitious infrastructure concepts into production-ready systems.

This Role Offers:

• Competitive base salary and equity participation, providing an opportunity to share in the company's long-term growth.
• Early-stage leadership opportunity with significant influence over technical architecture, infrastructure strategy, and operational standards.
• Exposure to advanced AI infrastructure, high-density computing, and innovative power and cooling technologies.
• Close collaboration with company founders, engineering specialists, and strategic technology partners.

Focus:

• Architect scalable GPU computing environments, developing standardized hardware configurations for enterprise-grade AI inference workloads.
• Direct physical infrastructure deployments, coordinating equipment installation, system commissioning, hardware validation, and production readiness.
• Oversee GPU cluster performance, implementing operational practices that optimize availability, utilization, reliability, and resource efficiency.
• Develop and support inference-serving infrastructure for external customers, including workload orchestration, resource scheduling, and secure multi-tenant environments.
• Partner with infrastructure and energy engineering teams to align compute requirements with electrical capacity, cooling performance, and system resilience.
• Manage technical relationships with hardware manufacturers, networking providers, and integration partners to ensure successful delivery and ongoing support.
• Establish repeatable deployment procedures, performance benchmarks, and operational frameworks that support future infrastructure expansion.

Skill Set:

• Proven experience implementing, commissioning, and managing production GPU clusters in demanding AI, cloud computing, or high-performance computing environments.
• Strong understanding of AI inference infrastructure, distributed workload management, GPU resource allocation, and multi-tenant computing architectures.
• Advanced knowledge of high-speed networking technologies, including InfiniBand, RoCE, and associated infrastructure integration requirements.
• Practical familiarity with high-density compute hardware, thermal management, power distribution, and advanced cooling solutions.
• Experience supporting externally facing compute services, with an emphasis on infrastructure reliability, customer performance, and operational scalability.
• Ability to coordinate complex hardware deployments involving equipment vendors, field technicians, engineering teams, and third-party service providers.
• Familiarity with NVIDIA GPU reference architectures, liquid-cooled systems, battery-backed infrastructure, microgrids, or DC power environments is advantageous.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS