Senior Systems Software Engineer - Data Path

Overview In this role you design and optimize the data path of Quantum’s distributed storage system, focusing on low-latency I/O, concurrency, and high performance. You will collaborate with cross-functional teams to implement scalable data path components, improve durability, and reduce latency in a multi-node cluster. The position emphasizes deep systems work, including caching, data placement, and resilience features, with opportunities to influence architecture and performance at scale. You will contribute to a mission-driven environment where protecting and enriching data enables actionable insights. Compensation / Benefitshealth plans for medical and prescriptiondental, vision, life, disabilityreimbursement for healthy lifestyle programscompany-matched 401(k)Employee Stock Purchase Program ResponsibilitiesDesign and maintain scalable, high-performance data path components (caching, metadata management, data placement)Optimize I/O performance and reduce bottlenecks using technologies like NVMe-oF, RDMA, and zero-copy transferImplement data durability features (erasure coding, snapshots, thin provisioning, data scrubbing)Handle high-concurrency challenges with lock-free structures and asynchronous programmingEnsure linear scalability of the data path as nodes are added, with efficient rebalancing and reconstructionCollaborate across teams to integrate components and optimize the solution Key requirements15+ years of experience in C/C++ or equivalentexperience with containers and Kubernetes (a plus)Linux I/O subsystem and networking experience (a plus)Storage protocol, clustering design and development experience (a plus)experience with AI tools or programming (a plus)experience with NAS protocols like SMB and NFS (a plus)strong communication and collaboration skillsability to work with a remote teamself-motivated problem solvercreative problem solver and effective communicator to technical and non-technical audienceswilling to work from Centennial, CO or Mendota Heights, MN office during core hours (Tue-Thu)team collaborationstrong communicationself-motivationC/C++ developmentdistributed systems and low-latency programmingNVMe-over-Fabrics (NVMe-oF)