Senior Software Engineer, Storage

What you'll do

• Design, develop, and operate distributed systems to manage data, compute, and networking for large-scale AI workloads.
• Build software and automation to orchestrate workloads across thousands of GPUs and petabytes of storage.
• Translate AI/ML research requirements into scalable, high-performance infrastructure solutions.
• Drive improvements in system reliability, performance, and observability to meet exascale standards.
• Partner with security and networking teams to ensure infrastructure robustness and compliance.
• Participate in design reviews and contribute to the evolution of the AI infrastructure stack.
• Stay current with advances in distributed systems and AI frameworks to shape future infrastructure directions.

What we're looking for

• BS or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
• 5+ years of experience developing and operating large-scale distributed systems, infrastructure platforms, or HPC environments.
• Strong programming skills in C++, Python, or Go with experience designing production-quality software systems.
• Solid understanding of distributed systems principles, data management, and large-scale orchestration frameworks.
• Hands-on experience with high-performance storage (e.g., Lustre, GPFS, BeeGFS) and compute scheduling (e.g., Slurm, Kubernetes, LSF).
• Familiarity with cloud environments (Azure, AWS, GCP) and infrastructure automation tools.
• Graduate degree (MS/PhD or equivalent experience) in Computer Science, Distributed Systems, or a related field (preferred).
• Experience building infrastructure for AI/ML research, including distributed training pipelines using PyTorch, JAX, or NeMo (preferred).