NVIDIA
Senior Cloud Software Engineer, DGXC Data Services
$152K–$288K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 6, 2026
- Location
- US, CA, Santa Clara
US, Remote - Experience
- 5+ years of software engineering experience.
- Education
- BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience.
About the job
Builds cloud-native data and storage services for hybrid and multi-cloud infrastructure supporting large-scale GPU training and inference.
What you'll do
- Build data and storage services for dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access.
- Develop scalable services and APIs for exabyte-scale GPU workflows.
- Partner with engineering, product, SRE, operations, and support teams to deliver reliable production systems.
What they ask for
- BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience.
- Strong foundation in algorithms, data structures, distributed systems, and practical software design.
- Experience building, shipping, and operating backend or cloud-native services using Kubernetes, a cloud provider, and a listed programming language.
- Ability to design APIs, document systems, communicate clearly, and work across teams to deliver production software.
Nice to have
- Hands-on experience with large-scale data, storage, or ML infrastructure services.
- Experience in enterprise data management, governance, analytics, AI workflows, or related infrastructure practices.
Pay
152,000 USD - 241,500 USD (base salary, Level 3); 184,000 USD - 287,500 USD (base salary, Level 4)
Tools
Kubernetes, AWS, GCP, Azure, Go, Python, Rust, C/C++
AI focus
Builds data infrastructure for AI training and inference; uses AI-assisted and agentic development workflows.
Model-written summary · the original posting is authoritative