Software Engineer, Compute Infrastructure
About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, deve
What this role actually needs.
About the Team: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, deve Responsibilities: - 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. 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 Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Software Engineer, Compute Infrastructure role.
- 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.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
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Software Engineer, Compute Infrastructure is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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Hybrid roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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Source: jobs.ashbyhq.com · Source ID: ca300a6d-a2a7-4580-aad7-323fbdfee7b1 · Confidence: 97/100 · Last checked: May 7, 2026
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