Job Overview
Location
San Francisco Office (Fremont St)
Job Type
Full-time
Category
Product Management
Date Posted
July 15, 2026
Full Job Description
đź“‹ Description
- • As a Data Center Standards Architect, you will serve as a principal-level technical leader responsible for designing the standards, systems, tools, and processes that help Lambda scale its data center infrastructure.
- • You will define and own Lambda’s data center engineering standards for high-density AI and GPU infrastructure environments.
- • Create repeatable reference architectures, design patterns, technical specifications, and deployment standards that improve speed, quality, reliability, and consistency across data center builds.
- • Develop the engineering “operating system” for data center scale, including standards libraries, design review processes, decision records, quality gates, commissioning criteria, acceptance checklists, exception processes, and operational handoff frameworks.
- • Translate lessons learned from individual deployments into reusable mechanisms that make future deployments safer, faster, and more predictable.
- • Establish technical standards across areas such as power distribution, cooling, liquid cooling readiness, rack integration, structured cabling, fiber management, network rooms, out-of-band management, telemetry, DCIM/BMS integrations, physical security, maintainability, and operational readiness.
- • Lead cross-functional architecture reviews for new data center designs, expansions, retrofits, and infrastructure programs.
- • Identify organizational bottlenecks and design systems, tools, and workflows that reduce ambiguity, improve accountability, and help teams execute at scale.
- • Build governance mechanisms for standards adoption, including exception management, risk reviews, lifecycle ownership, metrics, and continuous improvement loops.
- • Act as a technical advisor to senior engineering and infrastructure leadership on data center strategy, design tradeoffs, resiliency, operational risk, and scalability.
- • Mentor engineers and technical leaders across the organization by raising the bar for systems thinking, documentation, design rigor, and operational excellence.
🎯 Requirements
- • Have operated as a staff, principal, or director-level engineering leader in data center engineering, infrastructure engineering, facilities engineering, cloud infrastructure, hardware infrastructure, or a related technical domain.
- • Have experience designing or scaling standards, processes, tools, or governance systems across a complex engineering organization.
- • Bring a strong systems-thinking mindset and are comfortable turning ambiguous, one-off problems into repeatable, scalable mechanisms.
- • Have deep familiarity with data center infrastructure, including power, cooling, rack layouts, network infrastructure, cabling, commissioning, operational readiness, and lifecycle management.
- • Understand how to balance engineering excellence with delivery velocity, cost, risk, reliability, and operational simplicity.
🏖️ Benefits
- • Salary higher or lower than the annual salary range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
- • Generous cash & equity compensation.
- • Health, dental, and vision coverage for you and your dependents.
- • Wellness and commuter stipends for select roles.
- • 401k Plan with 2% company match (USA employees).
- • Flexible paid time off plan that we all actually use.
Skills & Technologies
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About Lambda Inc.
Lambda Inc. provides cloud-based GPU clusters and workstations for artificial-intelligence research and development. The company designs and operates high-performance hardware infrastructure optimized for machine-learning workloads, offering on-demand access to NVIDIA GPUs, pre-configured deep-learning software stacks, and scalable storage. Customers include AI labs, universities, and enterprises training large language and computer-vision models. Founded in 2012, Lambda is headquartered in San Francisco and maintains data centers across North America and Europe.
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