Principal Systems Software Engineer

Job Summary

NetApp is building the next generation of intelligent data infrastructure to help organizations manage, protect, move, and unlock the value of their data across on-premises, hybrid-cloud, and AI environments. 

We are seeking Senior, Principal and Distinguished Engineers and Technical Leaders to help architect, design, and build technologies that will evolve ONTAP for the AI era. You will solve complex systems challenges across distributed storage, file systems, data protection, drive/node failure resilience, performance, storage efficiency, AI data infrastructure, virtualization, and hardware. 

This is a hands-on technical leadership role for engineers with deep expertise in one or more systems domains and the ability to solve problems across technical boundaries. You will work with engineering teams across ONTAP, WAFL, RAID, Storage, Platform, Performance, and Hardware to develop scalable, resilient, and high-performance solutions. 

We are hiring across multiple Teams. These positions may be hired at the MTS5 or MTS6 level based on experience, technical depth, scope, and demonstrated impact. 

What You'll Do

• Architect and develop next-generation storage and data infrastructure technologies. 
• Influence technical direction and architectural decisions across multiple engineering teams. 
• Lead complex systems initiatives from architecture and design through development, optimization, and production Delivery. 
• Translate emerging AI, cloud, and enterprise infrastructure requirements into scalable technical solutions. 
• Solve complex problems spanning distributed systems, file systems, metadata, data protection, performance, operating systems, networking, and hardware. 
• Design highly available and fault-tolerant systems with strong consistency, resiliency, recovery, and performance characteristics. 
• Analyze and optimize system performance across CPU, memory, networking, and storage. 
• Mentor engineers and raise the technical bar through architecture, design, and code reviews. 
• Lead root-cause analysis of complex cross-subsystem issues. 
• Develop production-quality systems software using C, C++, or related systems programming languages. 

Areas of Technical Expertise

We're looking for deep expertise in one or more, of the following: 

• Distributed and scale-out storage systems 
• File systems, metadata, consistency, and recovery 
• RAID, erasure coding, replication, and data protection 
• Storage efficiency, compression, compaction, and deduplication 
• AI data infrastructure, training/inference pipelines, RAG, and high-performance I/O 
• Storage performance engineering, benchmarking, QoS, and workload characterization 
• NVMe, SSD/HDD technologies, storage media, and commodity hardware 
• Linux/UNIX/FreeBSD internals and kernel development 
• Virtualization, hypervisors, RDMA, and high-performance networking 
• Hybrid-cloud and cloud-native data infrastructure 

Job Requirements

• 12+ years of software engineering experience designing and developing complex systems software, storage systems, file systems, distributed systems, operating systems, infrastructure software, or related technologies. 
• Demonstrated experience architecting and delivering complex, production-quality systems. 
• Demonstrated ability to influence technical direction across teams and organizational boundaries. 
• Deep expertise in at least one area of large-scale storage, distributed systems, or data infrastructure. 
• Strong hands-on programming experience in C, C++, or comparable systems programming languages. 
• Strong foundation in operating systems, computer architecture, networking, concurrency, storage, and distributed systems. 
• Ability to analyze system-level interactions and make technical trade-offs across performance, scalability, reliability, resiliency, efficiency, and cost. 
• Strong problem-solving and root-cause analysis skills for problems spanning multiple technical domains. 
• Experience providing technical leadership and mentoring engineers. 
• Strong written and verbal communication skills. 

Preferred Qualifications

• Experience architecting large-scale distributed or highly available systems. 
• Kernel-level software development and debugging experience. 
• Experience with AI/ML infrastructure, GPU data pipelines, or high-performance I/O. 
• Experience with performance engineering and benchmarking. 
• Knowledge of NVMe, SSDs, HDDs, or commodity storage platforms. 
• Experience with hypervisors, virtualization, RDMA, or cloud infrastructure. 
• Track record of technical innovation through product architecture, patents, publications, or other significant technical contributions. 

Education

• Bachelor's, master's, or doctoral degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience.