Member of Technical Staff

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Prime Intellect
Full time
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USA
10/15/2026
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San Francisco, CA

Responsibilities

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.
Benchmark throughput, latency, metadata performance, and concurrent access using representative training and checkpoint workloads.
Build provisioning, capacity planning, lifecycle management, and operational automation for storage services.
Design and test replication, recovery, backup, and failure-handling procedures against durability and availability targets.
Diagnose performance and reliability issues across applications, clients, networks, filesystems, and devices.
Implement access controls, tenant separation, quotas, monitoring, and runbooks while collaborating with compute and networking teams.
Work directly with customers and engineering teams supporting large-scale AI infrastructure deployments.

Requirements

At least 3 years of experience 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 with Python, Go, Bash, or similar languages.
Understanding of storage failure modes, data integrity, consistency, replication, and recovery.
Knowledge of block, file, and object storage semantics and performance tradeoffs.
Experience with NVMe/SSD performance, filesystem tuning, I/O profiling, and benchmarking.
Knowledge of high-throughput storage networking, distributed client behavior, capacity forecasting, observability, alerting, and safe maintenance procedures.
Knowledge of authentication, authorization, encryption, and secure data lifecycle management.
Preferred experience supporting large GPU training clusters and high-volume checkpoint workloads; S3-compatible object storage, data tiering, distributed caching, RDMA-enabled storage, GPUDirect Storage, Kubernetes storage integrations, SLURM environments, storage cost optimization, or open-source storage contributions.

Benefits

Cash compensation is $150,000–$300,000 plus equity incentives.

Salary: $150k - $300k/yr

Prime Intellect

Prime Intellect builds a full-stack platform for training frontier AI models, giving enterprises access to distributed compute and agentic training infrastructure to develop their own systems. The company operates as a platform and open research lab, with customers leveraging its infrastructure r...

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