World’s leading Data Intelligence Platform supercharging over 500,000 GPUs across all data workloads
Senior/Staff Fuse Developer
Location
California
Posted
73 days ago
Salary
$150K - $250K / year
Seniority
Senior
Job Description
Senior/Staff Fuse Developer
DDN
• 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
Job Requirements
- 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
- Familiarity with RDMA networking principles and high-speed networking technologies
- Experience working close to kernel-space and user-space I/O paths
- Strong systems mindset with the ability to debug complex infrastructure and performance issues
- Experience building or optimizing infrastructure platforms in production environments
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• This is a globally remote opportunity. • We're seeking exceptional generalist engineers who can work across the entire vLLM stack: from low-level GPU kernels to high-level distributed systems. • This role is designed for self-directed, autonomous individuals who can identify the highest-leverage problems and solve them end-to-end without constant guidance. • You'll work asynchronously with our San Francisco headquarters while maintaining full ownership of critical infrastructure. • You might be optimizing CUDA kernels one week, designing distributed orchestration systems the next, and implementing new model architectures the week after. • The work you do will directly impact how the world runs AI inference. • Potential focus areas include: - Inference Runtime: Push the boundaries of LLM and diffusion model serving. - Kernel Engineering: Write the low-level kernels and optimizations. - Performance & Scale: Build distributed systems that power inference at global scale. - Cloud Orchestration: Build the operational backbone for cluster management, deployment automation, and production monitoring.
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• Design, build, and maintain backend services using Go (Golang) • Develop efficient, reliable, and high-performance solutions that meet product and business requirements • Work with relational database schemas and optimize queries using PostgreSQL • Collaborate with cross-functional teams to architect scalable, maintainable systems • Write clean, maintainable, and well-documented code • Troubleshoot, debug, and improve application performance • Contribute innovative ideas, improvements, and best-practice solutions to the team • Participate in code reviews and mentor junior developers as needed



