Systems Software Engineer - Infrastructure

Job Title

Systems Software Engineer - Infrastructure

Role Summary

Engineer and automate core infrastructure used by GPU firmware teams: build systems, CI/CD pipelines, test farms, developer tooling, artifact and release pipelines, and observability. Work on internal platforms and services that improve developer velocity and product quality.

Part of the GPU Firmware Infrastructure team; collaborate with firmware, hardware, and software engineers to design, implement, and scale tools and processes.

Experience Level

Mid-level — this role expects an experienced engineer (listed requirement: 5+ years of software, infrastructure, DevOps, or SRE engineering).

Responsibilities

Operate and improve the infrastructure and workflows that firmware teams rely on; automate manual processes and design scalable solutions.

• Build, own, and improve build systems, regression farms, CI/CD pipelines, developer tooling, and associated web services.
• Debug and resolve cross-domain issues across hardware, firmware, software, and infrastructure; design fixes that prevent classes of future failures.
• Create AI-assisted and automated workflows to scale productivity and reduce toil.
• Document, automate, and onboard processes, services, and tooling for internal teams.
• Deliver proofs-of-concept through production-quality, scalable systems.

Requirements

Core qualifications and skills required for success in this role.

• 5+ years of software, infrastructure, DevOps, or SRE engineering experience.
• Hands-on experience with modern CI/CD and automated test frameworks (e.g., architecting and debugging pipelines; pytest or equivalent test orchestration).
• Experience or strong interest in device BIOS, firmware, or low-level embedded software and tooling for those engineers.
• Solid understanding of web services, REST APIs, and relational databases; experience with SQL and PostgreSQL.
• Strong Python skills and comfort working in Linux shell environments.
• Scalability-minded engineering: designing systems to operate at scale and reduce maintenance burden.
• Strong written and verbal communication, with ability to write clear requirements and design trade-offs; strong interpersonal skills.

Nice-to-have:

• Experience with containers, orchestration, or infrastructure-as-code (Kubernetes, etc.).
• Experience using AI-assisted development tools and understanding their reliability boundaries.
• Open-source contributions, internal tools, or side projects demonstrating initiative.
• History of producing technical proposals, design docs, or architecture decisions that were adopted.

Education Requirements

BS or MS in Electrical Engineering, Computer Science, or Computer Engineering — or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.