Senior Systems Software Engineer- EDA Infrastructure

NVIDIA is hiring a Senior Systems Software Engineer- EDA Infrastructure for a remote role open to applicants in United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this software engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
Pay on this posting starts 10% higher than the typical software engineer posting on Level.
This is listed as a remote role.
The posting mentions AI agents among its tools and skills.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

ai-agents

NVIDIA is looking for a Systems & Software Engineer interested in building and running reliable large scale infrastructure platform services. In this role you will create and support automation that manages infrastructure, as part of our organization running EDA platforms atop of NVIDIA hardware.

What you’ll be doing:

Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals
Build and maintain automation to eliminate manual toil and scale output without scaling effort
Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy
Practice sustainable blameless incident prevention and incident response while being a member of an on-call rotation
Consult with and provide consultation for peer teams on systems design best practices

What we need to see:

BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience
Experience coding in Python and/or Go. Note: you must be able to produce code without AI assistance during the interview process.
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 your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.
8+ years of relevant experience

Ways to stand out from the crowd:

Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience accelerating positive impact to the business using coding assistant(s), MCP servers, or AI agents
In-depth knowledge of networking and storage technologies. Orchestrating existing automated and manual processes using Continuous Integration and/or workflow engines
Experience with duplicating or emulating existing 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 one or more of Kubernetes, OpenStack, Docker or Slurm. Experience working with Nvidia GPU-based systems

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking exceptional individuals like you to help us drive the next wave of artificial intelligence.

NVIDIA is considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you are creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Systems Software Engineer- EDA Infrastructure at NVIDIA rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Systems Software Engineer- EDA Infrastructure is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $184k-$288k a year.
The role is based in US, CA, Remote and is marked remote.
The job was posted on September 17, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Also common in software engineer jobs at this level

Java AWS TypeScript React C++JavaScript

Pay

This job starts at: $184k
Typical software engineer job: $168k

This posting starts 10% above the typical software engineer job. See software engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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