Intelligent Data Infrastructure Engineer

NetApp, Inc.•San Jose, CA

13d•$196,350 - $292,600

About The Position

We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI workloads. The ideal candidate has deep expertise in systems programming using C, a strong understanding of operating system internals, distributed systems, and data infrastructure, and is familiar with modern AI agents and AI-native development workflows. This role focuses on building scalable, high-performance infrastructure that manages, protects, and accelerates data across on-premises, cloud, and AI environments.

Requirements

Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.
12+ years of experience developing systems software, operating systems, storage platforms, or distributed infrastructure.
Expert-level programming skills in C/C++, Python
Strong understanding of operating systems
Strong understanding of memory management
Strong understanding of multithreading and concurrency
Strong understanding of networking fundamentals
Strong understanding of distributed systems
Strong understanding of performance optimization
Experience developing software on Linux.
Strong debugging and performance analysis skills.

Nice To Haves

Experience with storage systems, file systems, object storage, distributed data platforms, or cloud infrastructure.
Knowledge of AI infrastructure and data pipelines supporting GPU clusters and large-scale AI workloads.
Experience with Rust, Go.
Familiarity with Kubernetes, containers, and cloud-native architectures.
Experience using AI coding assistants and autonomous AI agents (such as GitHub Copilot, OpenAI Codex, Claude Code, or similar tools) to accelerate software development, testing, and debugging.

Responsibilities

Design and develop core infrastructure software for intelligent data platforms, including storage, data management, caching, metadata services, and distributed systems.
Develop high-performance, reliable software in C, C++, Python with an emphasis on scalability, efficiency, and resiliency.
Build and optimize data movement, replication, protection, and lifecycle management capabilities.
Design infrastructure that supports AI/ML pipelines, large language model (LLM) training, inference, and retrieval-augmented generation (RAG) workloads.
Collaborate with hardware, platform, networking, and cloud engineering teams to deliver end-to-end infrastructure solutions.
Optimize system performance through profiling, benchmarking, and low-level software optimization.
Leverage modern AI agents to improve software development, testing, debugging, documentation, and operational automation.
Participate in architecture reviews, code reviews, and technical design discussions.
Develop automated testing, observability, and reliability frameworks.