Senior Storage Software Engineer, DGXC Data Services

NVIDIA
United States
Workplace: HybridFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Design and testing discipline","Performance reasoning","Practical judgment"]

Build cloud-native storage technologies and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud. Develop high-performance training and inference storage paths for data loading, checkpointing, caching, POSIX-style access, and object-store integration. Create observability systems to diagnose storage bottlenecks and expose actionable telemetry. Collaborate with AI, platform, SRE, and operations teams to validate reliability and performance in production.

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FursaFursa
NVIDIA
NVIDIA
2 months ago

Senior Storage Software Engineer, DGXC Data Services

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Build cloud-native storage technologies and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud. Develop high-performance training and inference storage paths for data loading, checkpointing, caching, POSIX-style access, and object-store integration. Create observability systems to diagnose storage bottlenecks and expose actionable telemetry. Collaborate with AI, platform, SRE, and operations teams to validate reliability and performance in production.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build storage technologies, client libraries, and filesystem frameworks for AI workloads across object stores, file systems, and hybrid cloud infrastructure.
  • •Develop high-performance storage paths for training and inference, including data loading, checkpointing, caching, POSIX-style access, and object-store integration.
  • •Build observability systems to diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and surface telemetry in production monitoring.
  • •Improve storage performance, scalability, and reliability for massive datasets and high-concurrency AI workloads.
  • •Collaborate with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS in Computer Science, Information Systems, Computer Engineering (or equivalent) and 5+ years of software engineering experience.
  • •Strong foundation in algorithms, data structures, distributed systems, and operating systems with practical software design.
  • •Experience building performance-sensitive systems and storage/backend/cloud-native software in Go, Python, Rust, C/C++, or Java.
  • •Experience with storage systems, object stores, caching, Linux systems, Kubernetes, or cloud infrastructure.
  • •Ability to reason about performance, scalability, concurrency, reliability, and operational tradeoffs in production systems.
Experience:5+ yearsCloud-nativeStorage systemsDistributed systemsAI infrastructureHybrid cloudObject storageKubernetes
Education:Bachelor's in Computer Science, Information Systems, Computer Engineering (or equivalent)
Skills:CommunicationProblem-solvingDesign and testing disciplinePerformance reasoningPractical judgment
Tech Stack:GoPythonRustCC++JavaLinuxKubernetesEBPFPOSIXFUSEObject storesFilesystemAPIsObservabilityTracing

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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