Senior Systems Software Engineer - HPC and AI Storage

• Engineer and integrate storage systems for large-scale HPC and AI clusters, including Lustre, NFS, and their interaction with compute nodes, networks, and storage hardware.
• Examine performance and reliability issues throughout the I/O stack, supervising application behavior across filesystem clients, Linux kernel paths, network protocols, servers, and storage devices.
• Develop software fixes and performance improvements, working with NVIDIA engineering teams, storage partners, and open-source maintainers to bring changes through review, testing, and deployment.
• Characterize real application I/O, including training-data access, checkpoint and restart, metadata-intensive operations, and concurrent workloads. Translate findings into improvements to software, and system configuration and design.
• Build reproducible benchmarks, diagnostic tools, and regression tests that measure efficiency, latency, metadata performance, scalability, and behavior under contention.
• Lead storage qualification and commissioning, validating functionality, data integrity, failure recovery, and sustained performance at cluster scale.
• Define and implement storage placement, caching, and data lifecycle policies informed by workload requirements, capacity, and operational evidence.

What we need to see

• Deep engineering experience with Lustre, NFS, or comparable shared storage systems, including implementation-level debugging in at least one stack and experience integrating storage into Linux clusters.
• Strong C programming and Linux debugging skills, with experience reading, modifying, and diagnosing kernel or user-space storage software.
• Understanding of filesystem and distributed-system behavior, including metadata operations, caching and consistency, locking, concurrency, client/server communication, and recovery.
• Experience analyzing application access patterns and tuning filesystem or storage-stack behavior to deliver performance improvements.
• Ability to take a complex performance or correctness problem from initial symptoms through reproduction, root-cause analysis, implementation, and validation.
• Proficiency in Python and shell scripting to build maintainable diagnostic, test automation, and analysis tools.
• Ability to independently lead technical efforts, influence design decisions across teams, and communicate findings and tradeoffs clearly.
• BS or MS in Computer Science, Engineering, Mathematics, Physics, or equivalent practical experience, with 12+ years of relevant experience.

Ways to stand out from the crowd

• Contributions to Lustre, Linux filesystems, NFS implementations, or other storage projects, including features, performance improvements, bug fixes, or technical reviews.
• Expertise in Lustre metadata and client I/O, Linux VFS and page cache, NFS protocol and client/server internals, or distributed locking and recovery.
• Experience with hierarchical storage management, policy engines, or migration between filesystems and object storage, including data recall and recovery from interrupted transfers.
• Experience with RDMA storage transports, GPUDirect Storage, or optimizing data loading and checkpointing for GPU workloads.
• Experience with storage security and multi-tenancy, including authentication, identity mapping, permissions, and encryption.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
Poland: 375,000 PLN – 650,000 PLN for Level 5; and 483,750 PLN – 838,500 PLN for Level 6.
France: 114,000 EUR – 197,600 EUR for Level 5; and 150,000 EUR – 260,000 EUR for Level 6.
Germany: 141,900 EUR – 245,960 EUR for Level 5; and 165,825 EUR – 287,430 EUR for Level 6.