Senior Storage Software Engineer, DGXC Data Services
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About this opportunity
About the opportunity: The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure.
We are building next-generation data and storage infrastructure to solve hard problems in AI, including storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs.
Our work provides foundational capabilities for NVIDIA teams to build, train, deploy, and operate AI products at scale.
Key responsibilities
- Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure.
- Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration.
- Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks.
- Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads.
- Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments.
- Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification.
Qualifications
- BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience.
- Strong foundation in algorithms, data structures, distributed systems, operating systems, and practical software design.
- Experience building performance-sensitive systems, storage, backend, or cloud-native software in languages such as 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.
- Ability to design APIs, document systems, communicate clearly, and break ambiguous infrastructure problems into practical execution plans.
- Curiosity and practical judgment around AI-assisted or agentic engineering workflows, including using clear intent, specifications, acceptance criteria, tests, and verification to guide development.
Nice to have
- Background with Linux kernel observability, eBPF, tracing, or low-overhead telemetry systems.
- Experience with FUSE, POSIX filesystems, object-store-backed filesystems, or filesystem metadata/indexing.
- Experience optimizing storage performance for AI training, checkpointing, inference, or large-scale data pipelines.
Benefits
- Eligible for equity and benefits.
Job details
- Base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and peer pay.
- Applications accepted at least until October 10, 2026.
- This posting is for an existing vacancy.
About the company: NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization.
Our invention, the GPU, serves as the visual cortex of modern computers and is at the heart of our products and services.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
Full listing
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