Senior FUSE & Linux Storage Engineer

DDN; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

DDN is seeking a seasoned systems engineer to design, build, and optimize FUSE-based infrastructure and storage components. You will work across kernel and user-space layers to improve Linux file system integrations for high-performance distributed storage platforms.

You will diagnose bottlenecks, enhance scalability, and apply RDMA and networking techniques to move data efficiently in AI and HPC environments. Strong C/C++ skills and deep understanding of Linux internals are essential.

Qualifications

• Strong hands-on experience developing with FUSE and Linux file systems.
• Deep understanding of Linux kernel file system architecture.
• Strong programming skills in C and C++.
• Strong understanding of POSIX file system principles.
• Experience with object storage systems and distributed infrastructure.

Responsibilities

• Design, build, and optimize FUSE-based infrastructure and storage components.
• Develop and improve Linux file system integrations across kernel and user-space layers.
• Work on distributed storage and object storage infrastructure systems.
• Improve scalability, resiliency, and performance across storage platforms.
• Optimize networking and data movement using RDMA principles.
• Diagnose bottlenecks across file systems, networking, memory, and I/O stacks.
• Develop infrastructure tooling and platform capabilities in C and C++.
• Work closely with systems, storage, and platform engineering teams on deeply technical infrastructure challenges.
• Help shape next-generation infrastructure platforms for AI and high-performance environments.

Skills

FUSE

Linux file systems

C/C++

POSIX basics

RDMA networking

Kernel-space I/O

Performance debugging

Job description

DDN is seeking a seasoned systems engineer to design, build, and optimize FUSE-based infrastructure and storage components. You will work across kernel and user-space layers to improve Linux file system integrations for high-performance distributed storage platforms.

You will diagnose bottlenecks, enhance scalability, and apply RDMA and networking techniques to move data efficiently in AI and HPC environments. Strong C/C++ skills and deep understanding of Linux internals are essential.