Senior Hardware Engineer - GPU & AI Infrastructure

📋 Description

• Lead GPU and AI accelerator hardware ecosystem end-to-end.
• Own GPU hardware lifecycle from architecture eval to fleet integration.
• Ensure GPU-heavy rendering and ML workloads run on optimized hardware.
• Collaborate with Data Center Ops, SRE, and vendors.
• Build observability stacks to monitor GPU metrics (Grafana/Prometheus).

🎯 Requirements

• BA/BS in Electrical or Computer Engineering, or related field.
• 5+ years in GPU hardware engineering focusing on GPU architecture (NVIDIA HGX/MGX) or HPC.
• Deep knowledge of PCIe, NVLink, InfiniBand, and liquid cooling.
• Testing hardware subsystems (CPU, HBM/DDR5, NVMe, networking) on Linux.
• Proficiency in Python, Go, or C++ for hardware tooling.
• Systemic debugging: diagnose server issues via kernel logs and hardware traces.

🎁 Benefits

• Equity compensation.
• Benefits per Roblox total rewards page.
• Onsite schedule: Tue–Thu in-office; optional Mon/Fri.