Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

Nvidia

Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CASeattle, WA
Salary
$184,000–$287,500 / yr
Posted
7 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $236k
$146k most similar roles pay here $303k

This role pays more than 83% of similar roles. Most pay $162,000–$228,950 — the shaded band above. At the midpoint, this role pays about $236k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 980 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 966 roles with salary data.

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At a glance

TL;DR · Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud

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As a Senior Systems Software Engineer at NVIDIA’s DGX Cloud organization, you will join a team of innovative engineers focused on advancing accelerated computing for cutting-edge AI workloads. Your primary responsibilities include driving performance and scale characterization across the entire software stack, from Kubernetes to NVIDIA components like GPU Operator and DCGM, while collaborating with researchers and developers to create automated tests simulating real-world user scenarios. You will also develop monitoring tools, debug complex distributed systems issues, and engage with upstream communities such as Kubernetes and CNCF to validate AI workload performance early on. The role requires expertise in Kubernetes, Golang/Python, and the NVIDIA software ecosystem, along with experience scaling large-scale parallel systems and a background in optimizing AI workloads at scale.

Skills

Kubernetes Python Golang AWS Azure GCP OCI NVIDIA CI/CD Prometheus Docker PostgreSQL Git GitHub Linux CNI CSI GPU Inference Serving DCGM NIM CNCF OpenStack Terraform

What you'll do

  • Drive end-to-end performance and scale characterization for NVIDIA DGX Cloud software stack.
  • Develop automated tests simulating real user workloads using custom-built and open-source tools.
  • Investigate and resolve root causes of performance and scalability issues in distributed systems.
  • Design monitoring, reporting, and analysis tools for performance testing across resources.
  • Triage, debug, and address issues related to operating Kubernetes clusters at ultra-large scale.
  • Build a high-velocity framework for continuous performance and scale testing via CI/CD.

What we're looking for

  • 8+ years of experience in computer architecture, networking, storage systems, accelerators.
  • Expertise in Kubernetes and related CNCF projects.
  • Background in large-scale parallel and distributed accelerator-based systems.
  • Experience optimizing performance and AI workloads on large scale systems.
  • Proficiency in Golang/Python and familiarity with NVIDIA software ecosystem.
  • Strong operational experience with Kubernetes distributions at ultra-large scale.
  • Demonstrated history of contributing to the open-source community.

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