Назад
7 дней назад

Engineering Manager, Storage Products (AI)

165 000 - 330 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager, Storage Products (AI): Building and operating storage products for AI inference, including tiered caching, model and container image delivery, snapshotters, and distributed filesystems with an accent on reliability, cold-start performance, and heterogeneous cloud infrastructure. Focus on leading systems engineers, designing storage architectures, reviewing Go/Rust/C/C++ code, and solving multi-tenant delivery challenges across GPUs, object stores, and container runtimes.

Location: Hybrid in San Francisco, United States

Salary: $165,000–$330,000 per year, plus equity

Company

Baseten builds AI inference infrastructure, combining applied AI research, flexible infrastructure, and developer tooling to help companies deploy cutting-edge models in production.

What you will do

  • Lead and grow a team of 5–10 systems engineers working on storage, caching, and Linux infrastructure.
  • Own the architecture and evolution of the Baseten Delivery Network, improving model and container delivery and reducing cold starts.
  • Develop storage products for model weights, container images, training checkpoints, and deployment artifacts.
  • Guide lazy-loading snapshotters, filesystem layouts, and block-level delivery using technologies such as EROFS, FUSE, and ublk.
  • Own reliability measurement, instrumentation, incident response, and safe rollouts across heterogeneous clusters and cloud providers.
  • Coordinate storage dependencies and interfaces with infrastructure, model deployment, training, product, and upstream open-source teams.

Requirements

  • Experience managing engineers in systems, infrastructure, or storage contexts, including hiring and performance management.
  • Hands-on experience with distributed storage systems, content-addressable storage, or large-scale caching infrastructure.
  • Strong systems programming background in Go, Rust, and/or C/C++, with the ability to participate in code reviews and architecture discussions.
  • Working knowledge of the Linux storage stack, including filesystems, page cache, block devices, and mounts.
  • Understanding of how container images are structured, stored, and delivered at scale.
  • Strong written and verbal communication skills and the ability to influence across teams.

Nice to have

  • Contributions to containerd, snapshotter, distribution, or related open-source projects.
  • Experience with lazy-loading snapshotters, peer-to-peer image distribution, EROFS, FUSE, ublk, or io_uring.
  • Experience building or operating CDN, object storage, or large-scale caching infrastructure.
  • Experience running storage services on Kubernetes.

Culture & Benefits

  • Competitive compensation with meaningful equity.
  • U.S. employees and dependents receive full medical, dental, and vision coverage.
  • Flexible PTO and a company-wide Winter Break.
  • Paid parental leave and a fertility and family-building stipend.
  • Company-facilitated 401(k) for U.S. employees.
  • Exposure to a range of ML startups and opportunities to contribute to the containerd and snapshotter ecosystem.

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