Senior Systems Software Engineer, EDA Infrastructure

Nvidia

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: CAWestford, MAAustin, TXWADurham, NC
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $236k

$100k $308k

below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $149,500–$196,750 — the blue band above. At the midpoint, this role pays about $236k versus about $173k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Systems Software Engineer, EDA Infrastructure

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The Senior Systems Software Engineer- EDA Infrastructure will join the team responsible for running EDA platforms atop NVIDIA hardware. In this role, you will design, build, deploy, and run infrastructure services while managing the software life cycle to meet business goals. You will build automation to eliminate manual toil, define internal service level objectives, and participate in an on-call rotation for incident response. Key responsibilities include consulting on systems design best practices and managing large scale private or public cloud systems. Required skills include proficiency in Python and Go, experience with infrastructure automation, distributed systems design, Linux systems, and Containers. You will work on the technical problem of providing reliable large scale infrastructure platform services, potentially utilizing Kubernetes, OpenStack, Docker, Slurm, and GPU-based systems.

Skills

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

What you'll do

Design, build, deploy, and run infrastructure services to meet business goals.
Manage the full software life cycle for infrastructure services.
Build and maintain automation to eliminate manual toil and scale output.
Define internal service level objectives and error budgets as part of an observability strategy.
Practice blameless incident prevention and response as part of an on-call rotation.
Consult with peer teams on systems design best practices.
Orchestrate automated and manual processes using Continuous Integration and workflow engines.
Duplicate or emulate complex production infrastructure into staging and test environments.

What we're looking for

BS degree in Computer Science or a related technical field involving coding 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.
In-depth knowledge of networking and storage technologies (preferred).
Experience working with or developing multi-cloud infrastructure services based on Kubernetes, OpenStack, Docker, or Slurm (preferred).

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