OpenAI

2 months ago

Tech Lead, Deployment & Operations — Custom Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Lead deployment and operations for OpenAI’s Silicon & Systems team, bringing custom AI hardware from lab validation into production data centers. Manage end-to-end deployment, operational readiness, fleet reliability, and cross-functional collaboration across silicon, systems, software, infrastructure, and data center teams to scale OpenAI’s AI hardware platform.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 342,000 - 445,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of engineering experience in hardware systems, infrastructure, data center deployment, production operations, systems engineering, silicon bring-up, or related technical domains.
•Strong technical depth in one or more of: hardware deployment, data center operations, rack-scale systems, silicon bring-up, systems validation, fleet operations, reliability engineering, infrastructure automation, or hardware/software integration.
•Experience bringing complex hardware systems from development or validation into production environments.
•Experience working closely with silicon, systems, software, infrastructure, networking, or data center teams.
•Experience with deployment planning, operational readiness, incident response, debugging, and root-cause analysis for production systems.

Experience:0HardwareAI hardwareData center

Skills:LeadershipCross-functional collaborationCommunicationMentoringProblem-solving

Tech Stack:Hardware deploymentData center operationsAutomationObservabilityRack-scale systems

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 months ago

Tech Lead, Deployment & Operations — Custom Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•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.

Pay and Benefits

Salary: USD 342,000 - 445,000 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•8+ years of engineering experience in hardware systems, infrastructure, data center deployment, production operations, systems engineering, silicon bring-up, or related technical domains.
•Strong technical depth in one or more of: hardware deployment, data center operations, rack-scale systems, silicon bring-up, systems validation, fleet operations, reliability engineering, infrastructure automation, or hardware/software integration.
•Experience bringing complex hardware systems from development or validation into production environments.
•Experience working closely with silicon, systems, software, infrastructure, networking, or data center teams.
•Experience with deployment planning, operational readiness, incident response, debugging, and root-cause analysis for production systems.

Experience:0HardwareAI hardwareData center

Skills:LeadershipCross-functional collaborationCommunicationMentoringProblem-solving

Tech Stack:Hardware deploymentData center operationsAutomationObservabilityRack-scale systems

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor