Member of Technical Staff – Storage Infrastructure

Prime Intellect

. Design and operate storage architectures for training datasets, checkpointing, inference artifacts, and shared research workflows .

Posted 10/16/2026full-timeRemote • California • United StatesLead💰 $150,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating distributed storage systems, with a strong focus on performance optimization, data integrity, and operational automation. Proficient in collaborating with cross-functional teams to support advanced AI workloads and ensure robust storage solutions.

Highest-signal resume keywords

Distributed Storage SystemsParallel FilesystemsLinux AdministrationInfrastructure AutomationData Integrity

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Storage Architecture DesignPerformance TroubleshootingFilesystem TuningI/O ProfilingCapacity PlanningReplication ProceduresBackup ProceduresMonitoring ImplementationAccess Control ManagementData Lifecycle Management

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

LustreBeeGFSCephGPFSPythonGoBashKubernetesSLURMNVMe

Industry Keywords

AI WorkloadsHigh-Throughput Storage NetworkingGPU Training ClustersS3-Compatible Object StorageDistributed Caching

Tech Stack

Tools & technologies

KubernetesLinuxPythonGo

About the role

Key responsibilities & impact

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 with 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 with explicit 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
Collaborate with compute and networking teams
Work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure
Collaborate with the engineering team on systems powering the next generation of AI breakthroughs

Requirements

What you’ll need

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
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 and distributed client behavior
Experience with capacity forecasting, observability, alerting, and safe maintenance procedures
Knowledge of authentication, authorization, encryption, and secure data lifecycle management
Experience supporting large GPU training clusters and high-volume checkpoint workloads is nice to have
Experience with S3-compatible object storage, data tiering, or distributed caching is nice to have
Experience with RDMA-enabled storage or GPUDirect Storage is nice to have
Experience with Kubernetes storage integrations or SLURM environments is nice to have
Experience with storage cost optimization and contributions to open-source storage systems is nice to have

Benefits

Comp & perks

Equity incentives 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score