Tech Lead, Deployment & Operations — Custom Infrastructure
WFA Digital Insight
The demand for tech leaders in AI infrastructure has surged, with a 25% growth in 2025. Openai's custom silicon and systems team is at the forefront of this wave. With the rise of AI-native silicon, professionals with expertise in deployment and operations are in high demand. Openai stands out for its commitment to co-designing hardware and software, offering a unique opportunity for tech leaders to drive innovation. Before applying, candidates should be aware of the need for strong technical leadership and cross-functional collaboration in this role.
Job Description
About the Role
The Tech Lead, Deployment & Operations, will play a critical role in bringing Openai's custom silicon and systems into production data center environments. This involves leading a team responsible for the deployment and operations of these systems, ensuring successful bring-up, validation, and operational readiness. The role sits at the intersection of silicon, systems, infrastructure, data center operations, and software, requiring a deep understanding of these domains.As a tech lead, 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. This includes defining deployment processes, operational playbooks, and technical readiness criteria, as well as driving cross-functional execution across lab bring-up, rack/system integration, and data center deployment.
The role is part of Openai's Hardware organization, which develops silicon and system-level solutions for advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models.
What You Will Do
- Lead a team responsible for deployment and operations of 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
What We Are Looking For
- Strong technical leadership and experience in deployment and operations of custom hardware systems
- Expertise in silicon, systems, infrastructure, data center operations, and software
- Ability to drive cross-functional collaboration and execution
- Experience with Excel and other relevant tools
- Strong judgment around deployment sequencing, technical risk, operational readiness, and escalation
- Excellent communication and technical skills
- Ability to operate in ambiguous, fast-moving environments
Nice to Have
- Experience with AI-native silicon and systems
- Knowledge of co-design principles and practices
- Familiarity with data center operations and infrastructure
Benefits and Perks
- Opportunity to work on cutting-edge AI hardware and systems
- Collaborative and dynamic work environment
- Professional development and growth opportunities
- Competitive compensation and benefits package
- Remote work options and flexible scheduling
- Access to cutting-edge technologies and tools
- Opportunity to contribute to the development of AI-native silicon and systems
How to Stand Out
- To stand out, highlight your experience with custom hardware systems and deployment operations in your application.
- Be prepared to discuss your technical expertise in silicon, systems, and infrastructure during the interview process.
- Show a willingness to learn and adapt to new technologies and processes, as the field of AI-native silicon is rapidly evolving.
- Emphasize your ability to drive cross-functional collaboration and execution, as this is critical to success in this role.
- Prepare to discuss your experience with Excel and other relevant tools, and be ready to provide examples of how you have used them in previous roles.
- Research Openai's culture and values, and be prepared to discuss how you align with them.
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