Data Center Standards Architect

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.

Are comfortable influencing without direct authority across engineering, operations, construction, supply chain, finance, and executive stakeholders.

Communicate clearly through written standards, technical narratives, architecture diagrams, design reviews, and executive-level recommendations.

Have a track record of raising the technical bar for teams through better processes, better documentation, better decision-making frameworks, and better engineering discipline.

Are energized by building the systems that allow other engineers and operators to move faster and make better decisions.

Care deeply about reliability, maintainability, repeatability, and operational excellence in mission-critical infrastructure environments.

Nice to Have

Experience with AI, machine learning, GPU, HPC, or hyperscale cloud infrastructure.

with high-density compute environments, liquid cooling, advanced thermal management, or next-generation data center design.

building or operating infrastructure standards across multiple sites, regions, colocation providers, or global data center portfolios.

Familiarity with DCIM, BMS, EPMS, telemetry platforms, infrastructure observability, or workflow automation tools.

creating internal platforms, tooling, dashboards, or knowledge systems that help engineering organizations scale.

working with colocation providers, OEMs, ODMs, construction partners, commissioning agents, and critical facilities operations teams.

leading technical governance forums, architecture review boards, standards councils, or large-scale engineering transformation programs.

Background in electrical engineering, mechanical engineering, systems engineering, network engineering, infrastructure architecture, or a related field.

The annual salary range for this position has been set based on market data and other factors.

However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Founded in 2012, with 500+ employees, and growing fast

Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove

We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG

Our values are publicly available: https://lambda.ai/careers

We offer 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

Lambda is an Equal Opportunity employer.

Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.