Software Engineer, Infrastructure at OpenAI

London, England, United Kingdom

OpenAI Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • Strong software engineering skills with experience in Python, Go, C++, Rust, or similar languages
  • Experience designing, operating, or scaling distributed systems or developer infrastructure
  • Comfort working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks
  • Ability to navigate complex systems and a willingness to dig deep when debugging tricky issues
  • Excellent communication and collaboration skills, especially in cross-functional settings
  • 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead
  • A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement
  • Excellent communication skills, with ability to build consensus among stakeholders both internally and externally

Responsibilities

  • Design, build, and maintain reliable and performant systems used across engineering
  • Work with your team to define technical strategy, architecture, and long-term goals
  • Collaborate with other engineers, product managers, and researchers to build infrastructure that meets evolving needs
  • Improve internal tooling, automation, and developer experience
  • Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability

Skills

Distributed Systems
Reliability Engineering
Observability
Metrics
Logs
Tracing
Cloud Infrastructure
Databases
Systems Engineering
Performance Optimization
Scalability
Incident Response

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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