Senior Systems Software Engineer, EDA Infrastructure

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $184,000–$287,500 / yr
Posted: 3 days ago
Freshness: Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k

This role $236k

$100k most similar roles pay here $308k

This role pays more than 96% of similar roles. Most pay $144,350–$193,900 — the shaded band above. At the midpoint, this role pays about $236k versus about $169k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Systems Software Engineer, EDA Infrastructure

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As a Senior Systems Software Engineer- EDA Infrastructure, you will join the team responsible for running EDA platforms atop NVIDIA hardware. You will design, build, deploy, and manage the software lifecycle for infrastructure services while creating automation to eliminate manual toil and scale output. Your daily responsibilities include defining internal service level objectives, managing error budgets as part of an observability strategy, participating in on-call rotations for incident response, and consulting with peer teams on systems design best practices. The role requires proficiency in Python and Go, along with expertise in Linux systems, containers, distributed systems design, and infrastructure automation. You will work with networking, storage technologies, and tools like Kubernetes, OpenStack, Docker, or Slurm to manage large-scale private or public cloud systems and bare metal as a service.

Skills

Python Go Linux Containers Kubernetes Docker OpenStack Slurm Distributed Systems Infrastructure Automation Networking Storage Technologies Bare Metal as a Service NVIDIA GPU High-Performance Computing

What you'll do

Design, build, deploy, and manage the software lifecycle for large-scale infrastructure services.
Develop automation to eliminate manual toil and scale output efficiently.
Define internal service level objectives and error budgets as part of an observability strategy.
Participate in a rotation for blameless incident prevention and response.
Provide consultation to peer teams on systems design best practices.
Manage and maintain infrastructure services running EDA platforms on NVIDIA hardware.
Orchestrate automated processes using continuous integration and workflow engines.

What we're looking for

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.
8+ years of relevant experience.
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.
Experience working with multi-cloud infrastructure services using Kubernetes, OpenStack, Docker, or Slurm.
Experience working with NVIDIA GPU-based systems.

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