Reliability Engineer, OpenAI
Research Platform
Plus equity
AI research and development platform
Job no longer available
AI research and development platform
1001+ employees
Job no longer available
Plus equity
1001+ employees
Company mission
To ensure that artificial general intelligence benefits all of humanity.
Role
Who you are
- Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems
- Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management
- Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services
- Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems
- Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Have excellent communication skills. Expressing ideas clearly and listening carefully are among the most important requirements for success in this role
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience)
- Proven experience as an reliability engineer, production engineer, infrastructure Software Engineer or a similar role in a fast-paced, rapidly scaling company
- Strong proficiency in cloud infrastructure, specifically Azure but also the underlying concepts of scheduling, scaling, cloud storage, networking and security
- Proficiency in programming/scripting languages
- Experience with containerization technologies and container orchestration platforms like Kubernetes
- Knowledge of IaC tools such as Terraform or CloudFormation
- Excellent problem-solving and troubleshooting skills
- Strong communication and collaboration skills
- Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack
- Experience with bare metal performance maximization in a Linux environment as well as hardware (especially GPU) device performance and troubleshooting)
- Knowledge of security best practices in cloud environments
- No AI/ML experience required but always useful
What the job involves
- As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale
- Our success depends on our ability to quickly iterate on research ideas while also ensuring that the underlying platform is performant, usable, and reliable
- You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind
- Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand
- As a Reliability Engineer, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure
- You will work closely with cross-functional teams, including software engineers, data scientists and ML researchers to build and maintain resilient systems that can handle our growing user base and workload
- Collaborate with researchers, data scientists and platform developers to specify the availability, performance, correctness, and efficiency requirements of the current and future versions of the research platform
- Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands
- Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment
- Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability
- Implement fault-tolerant and resilient design patterns to minimize service disruptions
- Build and maintain automation tools to streamline repetitive tasks and improve system reliability
- Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability. alongside other infrastructure developers
Salary benchmarks
Our take
OpenAI aims to research and deploy AGI (Artificial General Intelligence) that is safe, controllable and beneficial to all of humanity. The company began its mission by developing an API that can solve language-based tasks, such as answering written questions or pulling up relevant documents based on a query.
Following the launch of ChatGPT in November 2022, which gained more than 1 million users in its first 5 days and is already worth billions, OpenAI announced a paid version named ChatGPT Plus which will be launched in the US first.
It is worth noting that OpenAI is not without controversy. Its products have sparked conversations regarding the morals and implications of AI tools, and recent investigations have uncovered misalignments between the company's public commitments and its alleged operations behind closed doors.
Whilst AI applications can be found in a vast variety of tech startups, this generally consists of the automation of algorithmic tasks such as data analysis and organization. OpenAI’s approach to designing true human-like artificial intelligence is futuristic, but with support from its high-profile partners (such as Microsoft), an annualised revenue reported at $ 2 billion in 2023, and the clear success of its products have the company well set to continue bringing advanced AI to the public.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Feb 2026
$110bn
LATE VC
Dec 2025
$1bn
LATE VC
Total funding: $179.9bn
Company benefits
- Health/Dental/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
Company HQ
Mission District, San Francisco, CA
Leadership
Sam Altman
(CEO)Former Y Combinator President & Chairman.
Ilya Sutskever
(Chief Scientist)Initially served as the company's Research Director, then became Chief Scientist in 2018. Co-founded DNNResearch and previously worked at Google as a Research Scientist.
Greg Brockman
(President & Chairman)Previously served as CTO of the company. Founding Engineer and former CTO of Stripe.
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