OpenAI - Software Engineer, Compute Infrastructure
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Requirements
• We do not expect every candidate to have worked at every layer. Some engineers will go deep on systems performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware behavior, benchmarking, scheduling, or hardware reliability; others will make the platform more usable through APIs, tools, workflows, and developer experience. The common thread is strong engineering judgment and excitement about making enormous compute systems faster, more reliable, and easier to use. • This is a general opening for Compute Infrastructure. We will consider candidates for teams across Compute Infrastructure and match you based on your strengths, the problems that motivate you, and where the infrastructure needs are highest. • Where you might work • Compute Foundations: Build the low-level platform primitives that make heterogeneous hardware, providers, and data centers repeatable, automatable, and operable at scale. • Fleet / Orchestration: Turn raw capacity into reliable, efficient clusters and scheduling systems that researchers and product teams can use with minimal friction and great experience. • Core Network Engineering: Build and operate the high-performance networking fabrics, protocols, and observability needed for the largest training and serving workloads. • Hardware Health and Observability: Detect, diagnose, remediate, and prevent hardware and fleet-health issues so usable compute stays high across providers and accelerator generations. • Storage: Build scalable, performant, durable storage abstractions that keep data movement and storage access from becoming a bottleneck to research or products. • Agent Infrastructure: Build sandboxed execution infrastructure for agentic workloads across research and production, with strong isolation, reliability, and scale. • Strong software engineering skills and experience building, operating, or improving production infrastructure systems • Experience in one or more relevant areas such as distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes, scheduling, observability, reliability engineering, high-performance computing, GPU infrastructure, CaaS, agent infrastructure, hardware-aware performance optimization, benchmarking, developer experience, or infrastructure tooling • Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements • Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions • Interest in working on infrastructure that directly enables frontier AI research and product impact
Responsibilities
• Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads • Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health • Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks • Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone • Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction • Turn operational lessons into better systems, stronger abstractions, and clearer ownership boundaries across teams • Collaborate across research, engineering, security, networking, hardware, and data center teams to make compute capacity more capable and easier to use • Have built or operated distributed systems, infrastructure platforms, high-performance computing environments, large-scale networking systems, Kubernetes clusters, developer tools, or production systems with demanding reliability requirements • Enjoy working across layers of the stack and are comfortable moving between software, hardware, networking, systems performance, reliability, and user needs • Care about making complex infrastructure understandable, observable, and usable for the people depending on it • Can diagnose hard problems under real operational pressure while still investing in long-term engineering quality • Like building leverage for others, whether through APIs, automation, debugging tools, CaaS and agent infrastructure primitives, workflow improvements, or better platform abstractions • Are motivated by scale, efficiency, reliability, and disciplined measurement through benchmarks, profiles, and production evidence • Communicate clearly, take ownership, and work well with teams whose constraints and goals differ from your own
Benefits
• $230K – $405K • Offers Equity • The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) • 401(k) retirement plan with employer match • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) • Mental health and wellness support • Employer-paid basic life and disability coverage • Annual learning and development stipend to fuel your professional growth • Daily meals in our offices, and meal delivery credits as eligible • Relocation support for eligible employees • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. • More details about our benefits are available to candidates during the hiring process. • This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please Note: we have set up limits for applications across roles. Candidates may not apply more than 5 times in any 180 day span. • or drag and drop here • We may provide immigration and sponsorship support to new employees based on their unique circumstances. • Please share anything else you want us to know, such as your motivation to apply or additional context for your application. • Applicant Arbitration Agreement • I acknowledge that I have opened, read, and understood the Arbitration Agreement. I understand that by submitting my application, I am agreeing to be bound by the terms of the Arbitration Agreement. • OpenAI is not seeking, nor should you disclose, any information that may be subject to confidentiality obligations to third parties, including but not limited to, your current employer. • I confirm I have read the above. • Decline to self-identify • Hispanic or Latino - A person of Cuban, Mexican, Puerto Rican, South or Central American, or other Spanish culture or origin regardless of race. • Hispanic or Latino • White (Not Hispanic or Latino) - A person having origins in any of the original peoples of Europe, the Middle East, or North Africa. • White • Black or African American (Not Hispanic or Latino) - A person having origins in any of the black racial groups of Africa. • Black or African American • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) - A person having origins in any of the peoples of Hawaii, Guam, Samoa, or other Pacific Islands. • Native Hawaiian or Other Pacific Islander • Asian (Not Hispanic or Latino) - A person having origins in any of the original peoples of the Far East, Southeast Asia, or the Indian Subcontinent, including, for example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan, the Philippine Islands, Thailand, and Vietnam. • Asian • American Indian or Alaska Native (Not Hispanic or Latino) - A person having origins in any of the original peoples of North and South America (including Central America), and who maintain tribal affiliation or community attachment. • American Indian or Alaska Native • Two or More Races (Not Hispanic or Latino) - All persons who identify with more than one of the above five races. • Two or More Races • Hispanic or Latino • White (Not Hispanic or Latino) • Black or African American (Not Hispanic or Latino) • Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino) • Asian (Not Hispanic or Latino) • American Indian or Alaska Native (Not Hispanic or Latino) • Two or More Races (Not Hispanic or Latino) • I identify as one or more of the classifications of protected veteran listed above • I am not a protected veteran
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