Jobs at Quantum

As a QA Automation Lead, you'll drive automation strategies, design frameworks, mentor teams, and ensure quality in distributed storage systems.

Lead the mechanical design and development of robotic tape automation systems, focusing on material selection, part qualification, and mechanical validation.

The Senior R&D Network Software Engineer designs and develops high-performance networking software and services, collaborates with the team on product features, and resolves issues in existing products while working in an Agile environment.

Lead product strategy and roadmap for Quantum ActiveScale object storage. Translate customer needs into PRDs/MRDs, prioritize features, work with engineering on releases, and drive go-to-market, customer engagement, and lifecycle management for large-scale, hybrid-cloud storage deployments.

Design, implement, and optimize the distributed storage data path handling I/O from network interface to persistent cluster storage. Work on distributed caching, metadata, placement algorithms, NVMe-oF/RDMA performance tuning, data integrity features (erasure coding, snapshots), lock-free concurrency, scalability, and resilience to achieve low-latency, highly durable storage.

Hands-on role to identify supply chain and manufacturing inefficiencies, design and deploy AI-driven automation, build integrated production solutions across ERP and operational systems, operationalize ML models and data pipelines, monitor performance, and collaborate with operations to reduce cost and cycle time through measurable KPIs.

Design, implement, and optimize the object storage data path and distributed services for a scale-out object storage platform. Own request processing from network ingress through metadata, placement, and durable persistence. Focus on low-latency, high-concurrency, correctness under failure, durability features (erasure coding/replication), caching, rebalancing, and performance profiling on Linux.