NVIDIA is at the forefront of transforming computer graphics, PC gaming, and accelerated computing, now driving the next era with AI. We are seeking an engineer who thrives on automating manual processes and developing innovative solutions. Join our GPU Firmware Infrastructure team to craft extraordinary automation, tools, and practices that accelerate GPU innovation. You will be instrumental in building the best AI Supercomputers while working with a diverse and talented team.

You will build, supervise, and enhance core firmware infrastructure, including build systems, regression farms, CI/CD pipelines, and developer tooling. Responsibilities include debugging complex issues across hardware, software, and infrastructure, inventing AI-powered workflows to scale productivity, and automating processes and services. You'll also identify and eradicate inefficiency company-wide, scaling improvements from concept to production.

A Bachelor's or Master's degree in EE/CS/CE or equivalent experience, coupled with 5+ years in software, infrastructure, DevOps, or SRE engineering is required. Hands-on experience with modern CI/CD and test automation, along with proficiency in Python and Linux shell environments, is essential. Solid understanding of web services, REST APIs, and relational databases (SQL, PostgreSQL) is necessary. Curiosity in device BIOS, firmware, or low-level embedded software, and strong communication skills are highly valued.