What we need to see: B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field. 5+ years of experience in Python infrastructure engineering, specifically focused on automation or tooling for Linux-based compute and storage systems. Strong DevOps/automation development expertise Solid Linux systems fundamentals (processes, networking, filesystems), with a comfort level managing NFS, permissions, and quotas. Proven incident response capabilities and a track record of owning critical systems with high availability requirements. Ways to stand out from the crowd: Familiarity with hardware verification workflows and the specific compute/storage demands of the semiconductor industry. Hands-on experience with large-scale infrastructure and databases (metrics, logs, tracing) and alert tuning. Exposure to building and maintaining REST services for internal tooling, service accounts, and secrets management. Proven ability to identify efficiency gaps in infrastructure workflows and deliver impactful automation improvements. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Come join our team and help us build the future HPC and data centers.
