Senior Software Engineer, Infrastructure Automation and Distributed Systems

Nvidia

Remote

Quick summary

Work type: Remote
Location: Westford, MAAustin, TXDurham, NC
Salary: $224,000–$356,500 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k

This role $290k

$122k most similar roles pay here $382k

This role pays more than 99% of similar roles. Most pay $147,197–$222,000 — the shaded band above. At the midpoint, this role pays about $290k versus about $185k 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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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, Infrastructure Automation and Distributed Systems

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As a Systems Engineer or Software Engineer, you will join our dynamic and innovative team at the senior level, focusing on building and maintaining large-scale infrastructure services that support both internal and external EDA applications running on NVIDIA hardware. Your daily responsibilities include designing, deploying, and managing these critical systems while ensuring they meet stringent reliability standards through continuous monitoring and automation. You’ll also contribute to defining service level objectives and error budgets as part of our observability strategy, eliminate or automate repetitive tasks for efficiency gains, and participate in on-call rotations to handle incidents with a blameless approach. Additionally, you will consult with peer teams on best practices for systems design and reliability engineering. Ideal candidates have extensive experience in infrastructure automation, distributed systems, and working with technologies like Kubernetes, Docker, and Slurm, along with proficiency in languages such as Python or Go, and deep knowledge of Linux, networking, storage, and containers.

Skills

Python Go Kubernetes Docker Linux Networking Storage Containers CI/CD Prometheus Grafana AWS Azure Google Cloud Platform Terraform Slurm OpenStack MCP servers AI agents bare metal as a service (BMaaS)

What you'll do

Design and deploy infrastructure services to meet business goals.
Define internal service level objectives and error budgets for observability.
Automate processes with high ROI to reduce operational overhead.
Participate in oncall rotations, practicing blameless incident response.
Provide consultation on systems design best practices to peer teams.

What we're looking for

12+ years of relevant experience in infrastructure automation and distributed systems design.
BS degree in Computer Science or related technical field, or equivalent experience.
Proven ability to initiate projects and collaborate effectively with peer teams.
Experience developing tools for large-scale private or public cloud systems.
Proficiency in Python, Go, Perl, or Ruby, and deep knowledge of Linux, Networking, Storage, and Containers.
Background in working with Kubernetes, OpenStack, Docker, or Slurm for multi-cloud infrastructure services.

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Remote

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