Member of Technical Staff – Storage Infrastructure

Job not on LinkedIn

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $150k - $300k / year

⏰ Full Time

🔴 Lead

🖥 Software Engineer

👻 Ghost score 0%

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Prime Intellect

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Cloud Computing

Prime Intellect is a company focused on democratizing AI development by providing scalable and decentralized computing resources for training models. Their platform allows users to find and share global compute resources, enabling the training of state-of-the-art models through distributed clusters. They promote the collective ownership of AI innovations, including language and scientific models. Prime Intellect also offers a range of GPU options to facilitate affordable and efficient model training. They aim to advance decentralized training research and open-source AI development on a global scale.

📋 Description

• 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 • Collaborate with the engineering team on systems powering next-generation AI breakthroughs

🎯 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, 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 • Experience with S3-compatible object storage, data tiering, or distributed caching • Experience with RDMA-enabled storage or GPUDirect Storage • Experience with Kubernetes storage integrations or SLURM environments • Experience with storage cost optimization and contributions to open-source storage systems

🏖️ Benefits

• Equity incentives