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Software Engineer, Fleet Hardware Health

About the team

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.

About the role

As a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet.  Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.

Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.

Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.

In this role, you will:

  • Build and maintain automation systems for provisioning and managing server fleets.

  • Develop tools to monitor server health, performance, and lifecycle events.

  • Collaborate with clusters, networking, and infrastructure teams.

  • Partner with external operators to ensure a high level of quality.

  • Identify and fix performance bottlenecks and inefficiencies.

  • Continuously improve automation to reduce manual work.

You might thrive in this role if you have:

  • Experience managing large-scale server environments.

  • A balance of strengths in building and operationalizing.

  • Proficiency in Python, Go, or similar languages.

  • Strong Linux, networking, and server hardware knowledge.

  • Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.

Prior hardware expertise is not required for this role.

Bonus Skills:

  • Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)

  • Knowledge of hardware management protocols (e.g., IPMI, Redfish).

  • High-performance computing (HPC) or distributed systems experience.

  • Prior experience developing, managing, or designing hardware.

  • Familiarity with monitoring tools (e.g., Prometheus, Grafana).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Average salary estimate

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What You Should Know About Software Engineer, Fleet Hardware Health, OpenAI

Join the Fleet team at OpenAI as a Software Engineer focusing on Fleet Hardware Health and help us support the heart of our innovative research and product development. Located in vibrant San Francisco, you'll be working to ensure the reliability and uptime of our extensive compute fleet, which powers some of the most advanced AI technologies today, including ChatGPT. Your role will be crucial in minimizing hardware failures to prevent disruptions in research training and services. With our large-scale supercomputers, your expertise in troubleshooting and maintaining these cutting-edge systems will shine. This position empowers you with a generous degree of autonomy, allowing you to lead the charge in developing automated solutions to bolster the health and efficiency of our supercomputing infrastructure. As part of your responsibilities, you'll build automation systems for managing server fleets, develop powerful monitoring tools to ensure top-notch performance, and collaborate with various internal teams and external partners to ensure the highest levels of quality. If you've got experience with large server environments and proficiency in programming languages like Python or Go, you'll thrive here. Get ready to tackle challenges head-on, delve into complex data, and come up with innovative automation solutions that can redefine how we maintain our AI infrastructure. Join OpenAI and really make a difference!

Frequently Asked Questions (FAQs) for Software Engineer, Fleet Hardware Health Role at OpenAI
What are the primary responsibilities of a Software Engineer, Fleet Hardware Health at OpenAI?

As a Software Engineer focused on Fleet Hardware Health at OpenAI, your main responsibilities include ensuring the reliability and uptime of the compute fleet, developing automation systems for server management, monitoring server health and performance, and collaborating with infrastructure teams. You will play a pivotal role in minimizing hardware failures, identifying performance bottlenecks, and implementing automated detection and remediation solutions.

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What qualifications do I need to become a Software Engineer in Fleet Hardware Health at OpenAI?

To qualify for the Software Engineer, Fleet Hardware Health role at OpenAI, candidates should have experience managing large-scale server environments, solid programming skills in languages such as Python and Go, and strong knowledge of Linux, networking, and server hardware. While prior hardware expertise is not required, familiarity with automated solutions and data analysis tools would be advantageous.

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How does OpenAI define the culture and expectations for the Fleet Hardware team?

At OpenAI, the culture of the Fleet Hardware team is one that emphasizes collaboration, innovation, and autonomy. Engineers are encouraged to take ownership of their projects, pursue deep investigations into system-level challenges, and develop creative automated solutions. The team prioritizes a safe and efficient working environment that values diverse perspectives and experiences, fostering an inclusive atmosphere.

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What programming languages and tools are essential for the Software Engineer, Fleet Hardware Health position at OpenAI?

Essential programming languages for the Software Engineer, Fleet Hardware Health role at OpenAI include Python and Go, alongside strong Linux and networking skills. Familiarity with data analysis tools such as SQL, PromQL, and Pandas is also valuable. Knowledge of monitoring tools like Prometheus and Grafana, as well as hardware management protocols, would enhance your effectiveness in this position.

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What growth opportunities exist for Software Engineers at OpenAI?

Software Engineers at OpenAI, especially in the Fleet Hardware Health role, have ample growth opportunities. They are encouraged to explore new technologies, take on complex challenges, and contribute to innovative solutions. The company promotes a culture of continuous improvement, providing the chance to advance skills and move into leadership roles as well as collaborate on impactful projects shaping the future of AI.

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Common Interview Questions for Software Engineer, Fleet Hardware Health
Can you describe your experience with managing large-scale server environments?

When answering this question, focus on any specific instances where you've managed server configurations, handled downtime incidents, or employed automation to maintain server health. Emphasize the scale of the systems you've worked with and how you ensured reliability and performance.

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How do you approach troubleshooting hardware-related issues in a compute environment?

In your response, discuss your systematic approach—starting from identifying the symptoms, gathering data, and isolating the problem. Mention tools or methods you’ve used, such as monitoring software or data logs, and examples of past troubleshooting experiences.

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What automation tools or languages are you proficient with that would apply to this role?

Highlight your experience in programming languages like Python or Go and any automation tools you’ve utilized. Provide examples of projects where you successfully implemented automation to improve server management and efficiency.

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Describe a time when you improved a process to reduce manual work in a large-scale environment.

Share a compelling story that demonstrates your impact. Outline the problem, your thought process in creating a solution, and the ultimate result of reducing manual tasks, thus increasing efficiency and reliability.

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How do you ensure collaboration and communication with other teams when resolving hardware issues?

Discuss your teamwork strategies, emphasizing the importance of clear communication, establishing feedback loops, and your willingness to collaborate across disciplines. Mention any methods you’ve used for effective cross-team collaboration.

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What experience do you have with monitoring tools like Prometheus or Grafana?

Talk about specific projects where you’ve utilized these monitoring tools, explaining how you set them up to track server performance and the insights you derived from this data to improve system reliability.

Join Rise to see the full answer
How would you approach fixing a performance bottleneck in a supercomputing environment?

Outline a structured approach to identifying and diagnosing performance bottlenecks using data analysis and monitoring tools as well as your investigative techniques. Share any relevant experiences you’ve had with similar issues.

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What is your understanding of hardware management protocols such as IPMI or Redfish?

Provide a brief overview of these protocols and your experience or familiarity with them, explaining how they relate to the roles and operations of hardware management in large computing environments.

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Can you elaborate on your Linux command line experience in a server context?

Discuss your command line expertise, focusing on specific commands or tasks you've routinely performed. Provide examples demonstrating your proficiency and how it has aided your work within server environments.

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Why do you want to work as a Software Engineer on the Fleet Hardware team at OpenAI?

In your answer, connect your passion for the AI field with your desire to contribute to impactful projects at OpenAI. Highlight how the company’s mission aligns with your career aspirations and interest in technology, and the appeal of solving real-world challenges within a high-tech environment.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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CULTURE VALUES
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 4, 2025

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