S Software Engineer, Storage Systems; Agent Infra Remote), CA, US Mid Go Rust C++

# Software Engineer, Storage Systems (Agent Infra)
Full Time computer Remote location _on San Francisco (Remote), CA, US  Midopen _in _new Apply on site Opens in a new tab on website.##

Job Description ABOUT BASETENBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, Open Evidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital.

Join us and help build the platform engineers turn to ship AI products.

THE ROLE Storage decides how fast agent sandboxes start and how safely they share data. Agents need a file system that thousands of sandboxes mount at the same time, with strict isolation and the consistency agents need. Agent context is mostly small files, so the access patterns look very different from storage built for large files.

The Agent Infra team builds Agent Drive, the distributed file system that agent sandboxes mount over FUSE, and the storage underneath it. The work uses tiered caching, replication, content-addressed data, and Linux file system internals. In September 2026, Baseten acquired Blaxel , whose sandboxes and Agent Drive file system are the foundation for Baseten Sandboxes  are building a cloud, not just using one, so storage is designed for many tenants from day one.

The team is small and ownership is big: we ship in weeks and months, not multi-year programs.

If you care about page cache coherency, FUSE, replication protocols, and content-addressable storage, we'd love to talk.

EXAMPLE INITIATIVES
- Blaxel is joining Baseten to build the future of agentic infrastructure  Baseten Sandboxes documentation  Design and implement core Agent Drive features: metadata replication, volume placement, garbage collection, and FUSE client behavior
- Solve multi-attach correctness: cache coherency across many FUSE mounts of the same drive, dentry and inode invalidation, write ordering, and crash consistency
- Optimize tail latency on read and write paths, including page cache strategy, writeback, prefetch, and metadata RPC batching
- Build tenant isolation into the storage layer, including quota enforcement, blast-radius containment, and noisy-neighbor mitigation
- Own the storage side of sandbox startup and resume performance
- Build durable block storage for sandboxes alongside other Baseten storage teams
- Build observability into every layer, drive storage incidents end to end, and turn each one into a permanent fix
- Contribute upstream to the open-source storage projects we build on REQUIREMENTS
- Strong systems programming background in Go, Rust, and/or C/C++, with comfort reading kernel code
- Deep understanding of Linux file system and storage internals: VFS, page cache, dentry and inode caches, FUSE, the block I/O stack, fsync semantics, and crash consistency
- Hands-on experience building distributed storage systems, content-addressable storage, or large-scale caching infrastructure
- Experience profiling I/O, memory, and RPC bottlenecks and optimizing tail latency in production
- Ability to debug correctness bugs that only show up under concurrency or partial failure
- You move fast and like owning a problem end to end on a small teamNICE TO HAVE

- Experience with a distributed file system or object store such as JuiceFS, CephFS, or S3-compatible storage, or contributions to those projects
- Knowledge of consensus and replication protocols (Raft, leader leases, quorum reads)
- Experience with snapshot, clone, and copy-on-write file system…