# Member of Technical Staff - Storage Infrastructure at Primeintellect

- Company: Primeintellect
- What the company does: Train, deploy, and continuously improve your own models on an integrated compute, training, inference, and sandbox stack. Backed by Menlo.
- Company website: https://www.primeintellect.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $150K to $300K base salary per year (USD)
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://jobs.ashbyhq.com/PrimeIntellect/074f0761-2e12-44ad-963f-beb1aca73e8a
- Page: https://www.1752.vc/careers/jobs/primeintellect-member-of-technical-staff-storage-infrastructure/

## About the role

Design and operate storage architectures for training datasets, checkpointing, inference artifacts, and shared research workflows Deploy and tune parallel filesystems, object storage, and local NVMe caching for demanding AI workloads

## What they're looking for

- 3+ years building or operating production distributed storage systems
- Hands-on experience with at least one parallel or distributed filesystem or object storage platform, such as Lustre, BeeGFS, Ceph, or GPFS
- Strong Linux administration and performance troubleshooting skills
- Experience automating infrastructure operations in Python, Go, Bash, or similar languages
- Understanding of storage failure modes, data integrity, consistency, replication, and recovery
- Block, file, and object storage semantics and their performance tradeoffs

Tags: Engineering