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NVIDIA

Senior Systems Software Engineer- EDA Infrastructure

NVIDIA
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remote senior full-time

First indexed 2 Sept 2026

Description

NVIDIA is looking for a Senior Systems Software Engineer to build and run reliable large-scale infrastructure platform services.

In this role, you will create and support automation that manages infrastructure, as part of an organisation running EDA platforms atop NVIDIA hardware.

Responsibilities:

  • Design, build, deploy, and run infrastructure services & manage the software life cycle to meet business goals
  • Build and maintain automation to eliminate manual tasks and scale output without increasing effort
  • Participate in defining internal service level objectives and error budgets as part of the overall observability strategy
  • Practice sustainable blameless incident prevention and incident response as part of an on-call rotation
  • Consult with peer teams on systems design best practices

Requirements:

  • BS degree in Computer Science or a related technical field involving coding
  • Experience coding in Python and/or Go
  • Experience with infrastructure automation and distributed systems design
  • Experience developing tools for running large-scale private or public cloud systems in production
  • In-depth knowledge of Linux systems and Containers
  • A track record showing a good balance between initiating projects, collaborating with others, and convincing others to collaborate with you
  • 8+ years of relevant experience

Preferred Qualifications:

  • Systematic problem-solving approach with strong communication skills and a sense of ownership
  • Experience accelerating positive impact using coding assistants, MCP servers, or AI agents
  • In-depth knowledge of networking and storage technologies
  • Experience with duplicating or emulating complex production infrastructure into staging/test environments
  • Experience working with or developing bare metal as a service (BMaaS) associated systems
  • Experience working with or developing multi-cloud infrastructure services and running private or public cloud systems based on Kubernetes, OpenStack, Docker, or Slurm
  • Experience working with Nvidia GPU-based systems

You will also be eligible for equity and benefits.