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Senior Systems Software Engineer - NV Cloud Functions

NVIDIA
New Delhi, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
GoRustCJavaDistributed systemsKubernetes

Full Job Posting

Role Overview

NVIDIA Cloud Functions is an open-source platform that links workloads to GPUs and supports deployment, management, and serving of GPU-accelerated containerized applications.

The platform routes inference, streaming, and batch jobs across decentralized GPU clusters, including on-premises and cloud environments.

The engineer will improve performance, reliability, and scaling for systems routing AI workloads onto distributed GPU fleets.

What You Will Be Doing

  • Develop ways to make GPU- and DPU-accelerated applications easier to develop, deploy, and monitor on NVIDIA hardware.
  • Design and ship services in Java, Go, and Rust through a public open-source repository.
  • Automate and optimize cloud-native build, test, integration, and release processes.
  • Integrate the platform with NVIDIA technologies including KAI Scheduler, NVIDIA NIM, Grove, and Dynamo.
  • Triage community issues and pull requests and write contributor documentation.

What We Need To See

  • Bachelor’s or Master’s degree in Computer Science, or equivalent experience.
  • 3+ years of hands-on software engineering experience.
  • Expert knowledge of Go, C, or Rust, plus data structures, algorithms, and distributed software architecture.
  • Strong Kubernetes and container technology knowledge with GitLab and ArgoCD automation experience.
  • Bash or Python scripting expertise and experience with Unix-like kernel internals such as Linux.
  • Understanding of performance, security, and reliability in complex distributed systems.

Ways To Stand Out

  • Background with publish-subscribe models and message queues.
  • Experience optimizing high-throughput network paths and unary, streaming, or bidirectional HTTP/2 and gRPC protocols.
  • Experience developing Kubernetes Custom Resources and Operators deployed in cloud service providers.

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