Senior Systems Software Engineer – EDA Infrastructure

at Nvidia

📍 United States

USD 184,000-356,500 per year

SENIOR

✅ Remote

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Communication @ 7 Distributed Systems @ 4 Docker @ 4 GPU @ 4 Go @ 4 Kubernetes @ 4 Linux @ 4 Mathematics @ 4 Networking @ 4 Observability OpenStack @ 4 Python @ 4 Slurm @ 4

Details

NVIDIA is seeking a Systems and Software Engineer to build and operate reliable, large-scale infrastructure platform services. The role focuses on creating and supporting automation that manages infrastructure for EDA platforms running on NVIDIA hardware.

Responsibilities

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

Requirements

Bachelor's degree in Computer Science or a related technical field involving coding, such as physics or mathematics, or equivalent experience.
Experience coding in Python and/or Go. Candidates 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 operating large-scale private or public cloud systems in production.
In-depth knowledge of Linux systems and containers.
A track record of initiating projects, gaining collaboration from others, and collaborating effectively on projects initiated by others.
At least 8 years of relevant experience.

Preferred Qualifications

A systematic problem-solving approach, strong communication skills, ownership, and drive.
Experience accelerating business impact using coding assistants, MCP servers, or AI agents.
In-depth knowledge of networking and storage technologies.
Experience orchestrating automated and manual processes using continuous integration and/or workflow engines.
Experience duplicating or emulating complex production infrastructure in staging or test environments.
Experience working with or developing bare-metal-as-a-service systems.
Experience working with or developing multi-cloud infrastructure services.
Experience operating private or public cloud systems based on Kubernetes, OpenStack, Docker, or Slurm.
Experience working with NVIDIA GPU-based systems.

Compensation and Benefits

The base salary is determined by location, experience, and the compensation of employees in similar positions. The base salary range is USD 184,000–287,500 for Level 4 and USD 224,000–356,500 for Level 5. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until September 5, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.