Чётко описанная инфраструктурная роль в ведущей AI-компании даёт возможность влиять на облачную платформу, HPC и процессы разработки собственных чипов, с сильной технической составляющей и потенциалом роста.
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Выше рынкаСовременный стекИнфраструктура ИИПонятная зона ответственности
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Текст:
Hirify AI/Оригинал
TL;DR
EDA Cloud & Developer Infrastructure Engineer (AI): Building and scaling cloud infrastructure, HPC environments, CI/CD pipelines, regression systems, data platforms, and developer workflows for custom silicon development with an accent on automation, reliability, performance, and operational efficiency. Focus on designing large-scale regression infrastructure, optimizing compute clusters and scheduling, building observability and data pipelines, and solving complex distributed infrastructure problems across the hardware development lifecycle.
Location: San Francisco, United States; hybrid
Salary: $287K–$485K plus equity
Company
OpenAI is an AI research and deployment company developing general-purpose AI and custom silicon and system-level solutions for advanced AI workloads.
What you will do
Build developer tools, services, APIs, and workflows that automate custom silicon development and improve engineering productivity.
Design and operate large-scale regression systems covering scheduling, execution, results collection, triage, and reporting.
Build and maintain CI/CD pipelines for infrastructure, developer tooling, and cluster configurations.
Design, provision, and operate cloud infrastructure and HPC clusters, optimizing scheduling, capacity, reliability, and cost.
Develop data pipelines, databases, monitoring, and observability systems for regression results, infrastructure health, resource utilization, and engineering efficiency.
Troubleshoot complex infrastructure issues and collaborate with RTL, verification, physical design, emulation, and software teams to improve platform reliability.
Requirements
Strong software engineering fundamentals and proficiency in Python or a similar programming language, with experience building reliable automation, tools, or infrastructure services.
Deep expertise in at least one infrastructure area, such as Linux/HPC environments, cloud infrastructure, CI/CD, storage, networking, or EDA development workflows.
Experience designing, deploying, and operating cloud infrastructure; Azure is preferred, with familiarity with Terraform or Bicep.
Strong Linux knowledge covering processes, filesystems, networking, permissions, performance troubleshooting, and system administration.
Experience building and maintaining CI/CD pipelines with Jenkins, Buildkite, GitHub Actions, or similar tools.
Ability to debug distributed infrastructure problems, identify root causes, and implement durable solutions.
Ability to translate engineering requirements into scalable infrastructure solutions and own systems from design through deployment, monitoring, and operational improvement.
Strong technical judgment, clear communication, collaboration, and curiosity about hardware development.
Nice to have
Experience supporting ASIC or semiconductor environments, including EDA workflows, design verification, physical design, emulation, or formal verification.
Experience operating large-scale HPC clusters or schedulers such as Slurm, compute farms, regression frameworks, build systems, and hardware toolchains.
Experience with enterprise identity and authentication systems such as Entra ID, OpenLDAP, FreeIPA, or SSSD.
Experience operating PostgreSQL or MySQL, including schema design, migrations, query optimization, and backups.
Familiarity with distributed systems components, message queues, caching, artifact storage, backend services, high-performance storage, and data movement optimization.
Highly collaborative work across hardware and software engineering teams.
Role includes opportunities to improve infrastructure across the full hardware development lifecycle.
Compensation includes equity.
Employment is subject to applicable U.S. export control legal status requirements.
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