Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$168к-252к/год
$200к$230кмедиана$270к
По похожим ролям (50) ~ $230к/год
88
Крутая вакансия
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Зона ответственности понятна и связана с важной AI-платформой, а задачи сочетают разработку ПО, Kubernetes и GPU-инфраструктуру; офисный формат и специфика оборонной сферы ограничивают гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Platform Engineer AI Compute (Kubernetes/GPU): Building and operating a shared AI compute platform for GPU workloads across cloud, on-premises, and air-gapped environments with an accent on Kubernetes orchestration, resource scheduling, and platform reliability. Focus on diagnosing workload performance, automating infrastructure upgrades, benchmarking training workloads, and guiding GPU capacity expansion.
Location: Onsite in San Diego or San Mateo, California, United States
Salary: USD 167,600–251,500 per year, plus bonus, benefits, and equity for regular full-time employees.
Company
hirify.global is a venture-backed defense-tech company developing intelligent systems, including Hivemind autonomy software, autonomous aircraft, and simulation technologies.
What you will do
Build and maintain software and configuration for running GPU workloads on Kubernetes.
Design quotas, scheduling priorities, permissions, and isolation for predictable multi-team compute sharing.
Automate deployment and upgrades of GPU services, including Run:ai, using infrastructure as code, Terraform, and Helm.
Investigate and resolve scheduling, configuration, storage, networking, and workload performance problems.
Build diagnostics connecting queue times, GPU utilization, memory requirements, and training throughput to developer experience.
Benchmark workloads, recommend GPU capacity and hardware, and deliver repeatable installations across cloud, on-premises, and air-gapped environments.
Requirements
Experience building and supporting production Kubernetes platforms, including GPU or distributed computing workloads.
Strong software engineering skills in Python, Go, or a comparable language.
Experience automating infrastructure deployment, configuration, and upgrades.
Practical Linux, networking, and storage troubleshooting skills.
Experience with shared resource scheduling, access controls, or workload isolation.
Ability to work directly with machine-learning engineers, understand their workloads, and turn recurring problems into maintained platform capabilities.
Nice to have
Experience with Run:ai or comparable GPU scheduling and resource-management systems.
Familiarity with distributed training and tools such as Ray or PyTorch.
Experience delivering on-premises or air-gapped platforms, or contributing to open-source infrastructure.
Culture & Benefits
Work on the AI Factory reference architecture used by internal engineering teams and delivered to customers.
Focus on the intersection of AI, distributed systems, Kubernetes, and defense.
Regular full-time employees receive pay within the listed range, bonus, benefits, and equity.
Offers are contingent on a cleared background and possible reference check.
hirify.global is an equal opportunity and affirmative action employer; accommodations are available for disabilities or special needs.
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