Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Member of Technical Staff - Storage Infrastructure role.
Rezi rewrites your resume against Prime Intellect's job description. Free.
Tailor your resume to this Member of Technical Staff - Storage Infrastructure role.
Rezi rewrites your resume against Prime Intellect's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Member of Technical Staff - Storage Infrastructure posting at Prime Intellect — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Member of Technical Staff - Storage Infrastructure posting at Prime Intellect — free, in seconds.
About the Role
Prime Intellect is building the open superintelligence stack, providing infrastructure for ambitious AI teams. Our platform unifies compute, environments, and more for post-training at frontier scale. We are developing open frontier AI models and the full-stack platform to build them. We seek individuals passionate about building at the intersection of frontier research, real infrastructure, and go-to-market for a nascent category.
Responsibilities
- Build and operate storage systems for frontier AI workloads.
- Ensure reliable, high-throughput access to datasets, checkpoints, and model artifacts.
- Balance performance, durability, availability, and cost as GPU clusters scale.
- 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.
Requirements
- 3+ years building or operating production distributed storage systems.
- Hands-on experience with at least one parallel or distributed filesystem or object storage platform (e.g., Lustre, BeeGFS, Ceph, 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 their performance tradeoffs.
- Familiarity with NVMe/SSD performance, filesystem tuning, I/O profiling, and benchmarking.
- Understanding 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.
Skills
- Python
- Go
- Bash
- Linux administration
- Distributed storage systems
- Parallel filesystems
- Object storage
- NVMe caching
- Performance troubleshooting
- Infrastructure automation
- S3-compatible object storage
- Data tiering
- Distributed caching
- RDMA
- GPUDirect Storage
- Kubernetes storage integrations
- SLURM
Location
- Remote
Work Type
- Full-time
Experience Level
- 3+ years
Salary/Compensations
- $150,000–$300,000
Benefits
- Equity incentives
About the Company
- Prime Intellect is building the open superintelligence stack, the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
- Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale.
- We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them.
- The next generation of AI companies, enterprises, and research teams need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
- Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators.