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Senior Cloud Software Engineer, DGXC Data Services

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / US - Santa Clara, CA)$152k - $241.5k + equityFull-timePosted 4mo ago

About the role

Cloud-native data and storage infrastructure engineer focusing on data services for hybrid and multi-cloud environments, supporting exabyte-scale AI training and inference workflows.

Responsibilities

  • Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access.
  • Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows.
  • Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems.
  • Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale.
  • Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, 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, and practical software design.
  • Experience building, shipping, and operating backend or cloud-native services using Kubernetes, cloud providers such as AWS, GCP, or Azure, and languages such as Go, Python, Rust, C/C++, or Java.
  • Ability to design APIs, document systems, reason through tradeoffs, communicate clearly, and break ambiguous problems into practical execution plans.
  • Experience working across engineering, product, platform, and operations teams to deliver reliable production software.
  • Curiosity and practical judgment around AI-assisted or agentic engineering workflows, including using clear intent, specifications, acceptance criteria, tests, and verification to guide development.

Skills

Required:Cloud-native servicesKubernetesCloud providers

Benefits

  • equity
  • benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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