Systems Software Engineer - Infrastructure

at Nvidia

USD 152,000-241,500 per year

SENIOR

✅ On-site

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 API @ 4 CI/CD @ 4 Communication @ 7 Debugging @ 4 DevOps @ 6 GPU Kubernetes @ 4 Linux @ 7 Observability PostgreSQL @ 4 PyTest @ 4 Python @ 7 SQL @ 4 SRE @ 6

Details

NVIDIA is looking for an engineer to build automation, tools, and infrastructure that accelerate GPU firmware development. The GPU Firmware Infrastructure team is responsible for developer tools, build compute, test farms, artifact and release pipelines, secure signing services, and observability platforms.

Responsibilities

Build, supervise, and improve core infrastructure for firmware teams, including build systems, regression farms, CI/CD pipelines, developer tooling, frameworks, and web services.
Debug and resolve issues across hardware, software, infrastructure, and team processes, addressing both immediate problems and broader classes of issues.
Invent and build AI-powered workflows that improve individual, team, and company-wide productivity.
Learn, document, and automate processes, services, and tooling through internal- and external-facing projects.
Identify and eliminate operational toil by developing improvements from proof of concept through scalable production solutions.

Requirements

Bachelor’s or master’s degree in electrical engineering, computer science, computer engineering, or equivalent experience.
5+ years of experience in software, infrastructure, DevOps, or SRE engineering.
Hands-on experience with modern CI/CD and test automation, including architecting and debugging pipelines and working with test orchestration frameworks such as pytest or equivalent.
Experience with or curiosity about device BIOS, firmware, or other low-level embedded software, and an interest in building tooling for engineers who develop it.
Solid understanding of infrastructure services and data, including web services, REST APIs, relational databases, and schema design with SQL and PostgreSQL.
Scalability-oriented thinking.
Strong Python skills and comfort working in Linux shell environments.
Strong communication skills, including the ability to articulate questions, write clear requirements, conduct critical reviews, and explain trade-offs.
Strong interpersonal and empathy skills, with the curiosity to work closely with hardware and software engineers on process and tooling enhancements.

Preferred Qualifications

A side project, open-source contribution, or internal tool developed to solve a practical problem.
Experience writing technical proposals, design documents, or architecture decisions that others have implemented independently.
Experience with containers, orchestration, or infrastructure-as-code tools, including Kubernetes.
Experience using AI-assisted development tools and evaluating when their output is trustworthy or should be discarded.