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Software Engineer, AI accelerator Runtime

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Primary stack

RustC++

Job description

About the Position

Software Engineer, AI accelerator Runtime

San Francisco


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.


Responsibilities

  • 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.

Requirements

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

About the Company

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.

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.

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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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