Compute Infrastructure Deployment Lead at OpenAI

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Deep technical experience in infrastructure/systems engineering, TPM, or product
Ability to move comfortably between system detail and program execution
Experience leading ambiguous, cross-functional infrastructure work to tangible outcomes without waiting for perfect information
Default to action, get things done, and enjoy switching between strategy and hands-on work to fully own projects end-to-end
Sweat the details, outcomes-driven, own technical nuances while zooming out for the full picture
Humble attitude and desire to pick up missing knowledge to deliver infrastructure systems
High horsepower, strong problem-solving skills, adept at frequent context switching, effectively manage multiple projects with ownership, and ruthlessly prioritize

Responsibilities

Ship cross-stack, highly technical infrastructure programs end-to-end: frame the problem, define requirements, run fast validations, and deliver to production with clear success metrics
Own outcomes end-to-end, move fast to validate approaches while balancing total cost, performance, and operability
Maintain precise technical intuition while shipping pragmatic solutions to complex, ambiguous infrastructure problems
Manage external vendors and partners and make sound calls on cost, performance, and operability to deliver usable FLOPs faster
Operate at a system level to drive decisions: own the plan of record, force clear trade-offs, and move decisively to unblock execution
Turn ambitious goals into tightly scoped plans, run through blockers, and drive projects to production—owning all aspects from strategy, technical problem definition, vendor engagement, to handoff to execution teams
Collaborate with partners across engineering, capacity planning, research, infra, product, finance, and business development to produce technical, operational, and commercial outcomes

Skills

Key technologies and capabilities for this role

Systems EngineeringInfrastructure EngineeringTechnical Program ManagementNetwork InfrastructureCompute SystemsObject StorageOrchestrationSchedulingVendor ManagementCapacity Planning

Questions & Answers

Common questions about this position

What is the salary for the Compute Infrastructure Deployment Lead role?

The salary is $310K.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

The role requires deep technical experience in infrastructure/systems engineering, TPM, or product, with the ability to lead ambiguous cross-functional infrastructure work, own projects end-to-end, and manage vendors while balancing cost, performance, and operability.

What is the team culture like at OpenAI's Industrial Compute team?

The team designs for scale, performance, and adaptability, bridging physical and logical layers, and focuses on delivering step-function improvements while collaborating across engineering, research, and other functions in a fast-moving environment.

What makes a strong candidate for this position?

Strong candidates have led ambiguous, cross-functional infrastructure work to tangible outcomes, default to action, own projects end-to-end, sweat the details, and enjoy switching between strategy and hands-on execution.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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