Tech Lead, Deployment & Operations — Custom Infrastructure

About the Team

OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.

About the Role

We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale.

This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure.

The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments.

In this role, you will:

Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments

Own the path from hardware bring-up and validation through production deployment, operational readiness, and sustained fleet support

Partner closely with silicon, systems, software, infrastructure, networking, data center, supply chain, and external partner teams to ensure successful deployment at scale

Define deployment processes, operational playbooks, technical readiness criteria, escalation paths, and reliability practices for new hardware platforms

Drive cross-functional execution across lab bring-up, rack/system integration, data center deployment, fleet monitoring, debugging, and issue resolution

Stay hands-on technically through architecture reviews, deployment planning, failure analysis, operational debugging, and critical system-level decision-making

Identify gaps in tooling, observability, automation, validation coverage, and operational processes, and build plans to close them

Establish clear metrics for deployment readiness, reliability, performance, maintainability, and operational health

Build a strong engineering culture grounded in ownership, technical rigor, operational excellence, and high-velocity execution

Ensure OpenAI’s custom hardware platforms can be deployed and operated reliably, repeatably, and safely at scale

Be a contributor and technical driver for the architecture and design of future ML systems

You might thrive in this role if you:

Enjoy mentoring and developing engineers while staying deeply engaged in technical execution

Are excited by the challenge of bringing new custom hardware platforms into real-world production data center environments

Can operate across silicon, systems, software, infrastructure, and data center operations

Are comfortable leading through ambiguity, especially when the hardware, tooling, and operational model are still being built

Have strong judgment around deployment sequencing, technical risk, operational readiness, and when to escalate