DDN

Compensation

Full Description

Note: The job is a remote job and is open to candidates in USA. DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation. They are seeking a Staff Software Engineer to join the Infinia IO Path Team, responsible for architecting and optimizing the I/O stack and delivering high-performance solutions for data-intensive workloads. Responsibilities • Design, develop, and optimize the Infinia I/O path to achieve extreme performance, low latency, and high concurrency under real-world workloads. • Implement and refine erasure coding algorithms, data durability techniques, and storage efficiency strategies across large clusters. • Integrate and optimize SPDK (Storage Performance Development Kit) into the I/O layer to leverage direct hardware access and minimize kernel overhead. • Work on distributed locking mechanisms and concurrency models to ensure consistency, fault tolerance, and throughput at scale. • Analyze and improve I/O subsystems under stress — including memory usage, buffer management, caching strategies, and scheduling mechanisms. • Drive performance tuning, data path tracing, and throughput profiling across multi-node, multi-device environments. • Participate in the design of asynchronous, event-driven architectures that support AI pipelines, high-speed data ingestion, and real-time analytics. • Serve as a go-to expert on the IO Path team — leading deep technical discussions, code reviews, design validation, and issue triage. • Work closely with the Sr. Manager of Engineering to shape the technical roadmap, evaluate new technologies, and ensure architectural alignment. • Mentor junior engineers and contribute to a culture of quality, rigor, and engineering excellence. • Partner with QA, Storage, Networking, and Performance teams to validate functionality and meet reliability goals. • Collaborate with Field and Support teams to debug and resolve customer issues, feeding real-world insights back into design improvements. • Influence test coverage strategies and CI/CD pipelines to ensure scalable and reliable software delivery. Skills • 10+ years of experience building large-scale systems software in C/C++. • Deep understanding of I/O path optimization, storage scheduling, memory management, and data layout strategies. • Proven experience implementing erasure coding, data redundancy, and recovery algorithms in a distributed context. • Hands-on experience integrating or optimizing with SPDK or similar user-space storage frameworks. • Strong knowledge of distributed concurrency, locking mechanisms, and fault-tolerant design principles. • Familiarity with performance profiling tools, memory allocators, and benchmarking methodologies. • Excellent debugging skills, with the ability to diagnose complex race conditions, performance regressions, and hardware/software interactions. • Experience working in high-performance computing (HPC), AI data infrastructure, or large-scale storage platforms. • Knowledge of NVMe-oF, RDMA, and other high-speed I/O protocols. • Familiarity with cluster schedulers, resource orchestration, or containerized I/O workloads. • Exposure to distributed file systems, object storage layers, or hybrid data models. • Background in implementing monitoring hooks, observability layers, or self-healing I/O subsystems. Company Overview • DDN is the world’s leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. It was founded in 1998, and is headquartered in Chatsworth, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.ddn.com. Company H1B Sponsorship • DDN has a track record of offering H1B sponsorships, with 4 in 2025, 3 in 2024, 2 in 2023, 4 in 2022, 3 in 2021. Please note that this does not guarantee sponsorship for this specific role.