Software Engineer, AI accelerator Runtime

Openai
San Francisco, CA

Who this role is best for

Geared toward mid-level systems engineers comfortable with low-level device runtime development, this role emphasizes collaboration across hardware and software teams in San Francisco.

Best fit for

  • Mid-level systems engineers with experience in low-level runtime development for accelerators or custom silicon.
    — “Design and implement the low-level device runtime for OpenAI custom silicon.
  • Candidates with a background in building drivers, firmware, or operating system components.
    — “Have built runtimes, drivers, firmware, operating-system components, accelerator software, or adjacent systems infrastructure.
  • Individuals familiar with concurrency and memory management in performance-critical environments.
    — “Understand concurrency, synchronization, asynchronous execution, queues, events, and memory-ordering semantics.

Things to consider

  • Candidates may need to meet U.S. export control legal status requirements.
    — “candidates for this role may need to meet certain legal status requirements
  • The role involves debugging across software, device interfaces, and hardware behavior.
    — “Can reason quantitatively about scheduling, latency, throughput, utilization, contention, and resource tradeoffs.

How to stand out

  • Highlight experience with event-based simulators and hardware-software co-design in your resume and interviews.
    — “Use event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available
  • Emphasize your ability to define clean interfaces between multiple complex systems.
    — “Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems.
  • Showcase your skills in managing memory spaces and data movement in concurrent environments.
    — “Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads.
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and implement low-level device runtime
  • build kernel-launch scheduling
  • manage device memory spaces
  • implement synchronization primitives
  • use event-based simulators
Typical background
low-level systems programmingruntime developmentdevice runtime

Skills & requirements

Required

Low-level Systems ProgrammingRuntime DevelopmentDevice RuntimeKernel-launch SchedulingDevice Memory ManagementSynchronization PrimitivesEvent-based SimulationCycle-accurate SimulationHardware-software Co-designDebugging

Preferred

AI AcceleratorCustom SiliconCompiler-generated CodeHardware-software InterfacesPerformance TuningReproducible Workloads

Stack & domain

CC++RustLow-level Systems ProgrammingRuntimeDriversFirmwareOperating-system ComponentsAccelerator SoftwareAdjacent Systems InfrastructureConcurrencySynchronizationAsynchronous ExecutionQueuesEventsMemory-ordering SemanticsMemory ManagementAddress SpacesDMACachingCoherencyHardware-software InterfacesEvent-based, Cycle-accurate SimulatorsDebuggingReasoning Quantitatively About SchedulingLatencyThroughputUtilizationContentionResource TradeoffsTeamworkCommunicationProblem-solvingCollaborationAIHardwareSiliconSystem-level SolutionsAdvanced AI WorkloadsSupercomputing Platform

About the role

Original posting from Openai via Ashby

About the Team

OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.

About the Role

You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks.

You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design.

In this role, you will:

  • Design and implement the low-level device runtime for OpenAI custom silicon.
  • Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling.
  • Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads.
  • Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient.
  • Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems.
  • Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability.
  • Diagnose concurrency, memory-ordering, deadlock, race, correctness, and performance issues across software and hardware boundaries.
  • Build tests, tracing, profiling, observability, and reproducible workloads for runtime correctness and performance.
  • Partner with architecture and silicon teams to turn workload and simulator insights into hardware-software interface improvements.

You might thrive in this role if you:

  • Have strong low-level systems programming experience in C, C++, Rust, or comparable environments.
  • Have built runtimes, drivers, firmware, operating-system components, accelerator software, or adjacent systems infrastructure.
  • Understand concurrency, synchronization, asynchronous execution, queues, events, and memory-ordering semantics.
  • Understand memory management, address spaces, DMA, caching, coherency, and hardware-software interfaces.
  • Have hands-on experience with event-based, cycle-accurate simulators or closely related architectural and performance models.
  • Can reason quantitatively about scheduling, latency, throughput, utilization, contention, and resource tradeoffs.
  • Are skilled at debugging failures that span software abstractions, device interfaces, and hardware behavior.
  • Work effectively across compiler, kernel, architecture, verification, firmware, and silicon teams.

To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.

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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.

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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

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.

Source: Openai careers (Ashby)

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