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Jobs/AI Software Engineer: Intelligent Data Infrastructure
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AI Software Engineer: Intelligent Data Infrastructure

NetApp, Inc.

$131K–195K/yrSanta Clara County, California, United StatesFull-time10+ yearsHybrid
Posted 4 weeks ago· America/Chicago· Wichita, Kansas, United States

Why This Is a Good Vibe Coding Job

This role is a vibe coder’s dream because the leadership team explicitly champions the use of Claude and Cursor to tackle complex system engineering. You’ll be applying high-level AI-assisted workflows to low-level infrastructure, proving that natural language can effectively manage deep-stack challenges like kernel development and distributed storage.

Architect the Foundation of Global AI

Join an elite engineering squad within NetApp's Office of the CTO to build the intelligent data substrate that powers modern AI factories. Instead of just managing storage, you will design high-performance systems capable of sustaining massive GPU clusters and real-time inference pipelines. This role is built for creators who want to redefine how data moves from raw bits to deployed intelligence at an exabyte scale.

The Vibe Coding Workflow

At NetApp, AI isn't just the product—it's the process. You will leverage modern AI-assisted development tools like Cursor and Claude Code to accelerate your velocity, automate the mundane, and focus on solving architectural puzzles. By combining high-level natural language prompting with rigorous systems engineering in Golang, Python, and C++, you’ll bridge the gap between cutting-edge AI tools and the Linux kernel.

Key Qualifications

  • Deep Systems DNA: Mastery of distributed systems, file systems, and high-performance computing (HPC).
  • Infrastructure Fluency: Experience with Kubernetes, GPU computing, and RDMA to optimize data planes for model training.
  • Growth Mindset: A history of self-driven 'side quests' and projects that demonstrate your ability to thrive on technological shifts.
  • Performance Intuition: The skill to build quantitative models and identify bottlenecks in massive-scale data environments.

Education

  • bachelor degree
  • postgraduate degree

Benefits

Health InsuranceLife InsuranceRetirement Or Pension PlansPaid Time OffPerformance-Based IncentivesEmployee Stock Purchase PlanRestricted Stocks

Skills & Tags

GolangPythonC++Linux Kernel DevelopmentDistributed SystemsKubernetesStorage SystemsGPU ComputingModel ServingData PipelinesVector DatabasesPerformance AnalysisSystem ArchitectureHigh-Performance ComputingRDMAAgile Methodologies

Keywords

AI InfrastructureGolangPythonC++Linux KernelDistributed SystemsKubernetesStorage SystemsGPU ClustersData PipelinesVector DatabasesHigh-Performance ComputingRDMAAgileSystem ArchitectureModel TrainingInferenceONTAPData CurationPerformance ModelingScalabilitySoftware EngineeringInfrastructure EngineeringAI Data EngineAFXSemantic SearchNetworkingDebuggingCode ReviewPrototyping

Categories

TechnologySoftwareEngineeringData & Analytics

Source: successfactors