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Software Development

Software Engineer, Platform Systems

OpenAI · San Francisco · full-time

Software Developmentfull-timeSan Francisco$380K – $500K
ScalingSystems
RemoteJobs editorial overview

Strategic Overview

Software Engineer, Platform Systems at OpenAI is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior.

The role is listed for San Francisco with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Scaling, Systems.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationSan Francisco
Employmentfull-time
Salary$380K – $500K
PostedJan 23, 2026
Last seenOct 25, 2026
Role context

About This Role

The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers.

Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale.

We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform.

What the role delivers

Key Responsibilities & Objectives

  • Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs
  • Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior
  • Improve observability, reliability, and performance across OpenAI’s training platform
  • Collaborate with systems, infrastructure, and research teams to evolve platform capabilities
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Have a background in high-performance computing or low-level systems engineering
Compensation & benefits

Salary & Benefits

Published compensation: $380K – $500K

Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.

This job$380K – $500K
Current market range$86 – $625,000
Comparable jobs497

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

About the Team

The Platform Systems team at OpenAI operates at the intersection of cutting-edge AI and large-scale distributed systems. We build the engineering and research infrastructure required to train OpenAI’s flagship models on some of the world’s largest, custom-built supercomputers.

Our team develops core model training software and works deep in the stack - spanning collective communication, compute efficiency, parallelism strategies, fault tolerance, failure detection, and observability. The systems we build are foundational to OpenAI’s research velocity, enabling reliable, efficient training at frontier scale.

We collaborate closely with researchers across the organization, continuously incorporating learnings from across OpenAI into the evolution of our training platform.

About the Role

As a Software Engineer, Platform Systems, you will design and build distributed systems that provide visibility into large-scale training workloads and help operate them reliably at scale.

You’ll work on failure detection, tracing, and observability systems that identify slow or faulty nodes, surface performance bottlenecks, and help engineers understand and optimize massive distributed training jobs. This infrastructure is critical to operating OpenAI’s training stack and is actively evolving to support new use cases and increasingly complex workloads.

This role sits at the core of our training infrastructure, blending systems engineering, performance analysis, and large-scale debugging.

In This Role, You Will

  • Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs

  • Develop tooling to identify slow, faulty, or misbehaving nodes and provide actionable visibility into system behavior

  • Improve observability, reliability, and performance across OpenAI’s training platform

  • Debug and resolve issues in complex, high-throughput distributed systems

  • Collaborate with systems, infrastructure, and research teams to evolve platform capabilities

  • Extend and adapt failure detection systems or tracing systems to support new training paradigms and workloads

You Might Thrive in This Role If You

  • Care deeply about performance, stability, and observability in distributed systems

  • Enjoy finding and fixing issues in large-scale systems and automating operational workflows

  • Have experience writing low-level software where system details matter

  • Understand hardware, operating systems, networking, concurrency, and distributed systems

  • Have a background in high-performance computing or low-level systems engineering

  • Are excited to work on critical infrastructure that powers frontier AI research

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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches Scaling, Systems. Its strongest career signal is the scope of the work itself — particularly Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training jobs — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Scaling, Systems, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyashby

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.