Senior Hardware Engineer - GPU & AI Infrastructure

About the role

The Senior Hardware Engineer - GPU & AI Infrastructure plays a key role in enabling Roblox's mission to deliver a reliable, high-performing, and cost-efficient infrastructure that powers the world's play. They architect and prototype next-generation GPU-accelerated hardware platforms, drive the integration and performance testing of GPUs, and ensure Roblox's massive-scale rendering and ML workloads run on the most optimized and stable hardware.

Responsibilities

• Architect & Prototype: Prototype next-generation GPU-accelerated hardware platforms, ensuring seamless integration between high-density compute nodes, high-speed interconnects (NVLink/PCIe Gen5/6), and system firmware.
• GPU Optimization: Drive the integration, performance testing, and debugging of GPUs in our fleet, focusing specifically on hardware-level optimizations, driver tuning, and thermal/power management.
• Validation & Certification: Develop and execute rigorous evaluation and stress-testing strategies for GPU-heavy server platforms to ensure they meet Roblox’s unique demands for real-time rendering and low-latency AI inference.
• Firmware & Systems: Lead firmware qualification (BIOS/BMC) and troubleshooting, implementing automation systems to manage GPU health, firmware updates.
• Vendor Collaboration: Provide technical guidance and deep-dive feedback to hardware vendors. Lead critical investigations into component-level failures, triaging issues across the hardware, driver, and kernel layers.
• Observability: Build and maintain advanced monitoring stacks (Grafana/Prometheus) to track GPU metrics like HBM utilization, thermal throttling events, and PCIe bandwidth saturation.

Requirements

• Educational Background: BA/BS Degree in Electrical Engineering, Computer Engineering, or related field with equivalent practical experience.
• Experience: 5+ years of hardware engineering experience with a specific focus on GPU architecture (NVIDIA HGX/MGX platforms preferred), AI accelerators, or high-performance compute (HPC) systems.
• Technical Knowledge: In-depth understanding of modern data center technologies, including PCIe fabric, NVLink, InfiniBand, and liquid cooling systems for high-TDP hardware.
• Testing Skills: Hands-on experience testing and validating CPU, Memory (HBM/DDR5), Storage (NVMe), and high-speed networking subsystems in a Linux environment.
• Programming: Proficiency in Python, Go, or C++ for developing hardware validation tools and automation scripts.
• Debugging Skills: Expert-level skills in debugging complex server issues remotely, with the ability to analyze kernel logs, hardware registers, and bus-level captures.

Qualifications

• Education: BA/BS Degree in Electrical Engineering, Computer Engineering, or related field with equivalent practical experience.
• Experience: 5+ years of hardware engineering experience with a specific focus on GPU architecture (NVIDIA HGX/MGX platforms preferred), AI accelerators, or high-performance compute (HPC) systems.
• Technical Knowledge: In-depth understanding of modern data center technologies, including PCIe fabric, NVLink, InfiniBand, and liquid cooling systems for high-TDP hardware.
• Testing Skills: Hands-on experience testing and validating CPU, Memory (HBM/DDR5), Storage (NVMe), and high-speed networking subsystems in a Linux environment.
• Programming: Proficiency in Python, Go, or C++ for developing hardware validation tools and automation scripts.
• Debugging Skills: Expert-level skills in debugging complex server issues remotely, with the ability to analyze kernel logs, hardware registers, and bus-level captures.

Skills

• Expertise in GPU architecture and AI accelerators.
• Strong understanding of data center technologies and high-speed interconnects.
• Experience with Linux environments and system-level debugging.
• Proficiency in Python, Go, or C++ for developing hardware validation tools and automation scripts.
• Ability to work effectively with hardware vendors and cross-functional teams.

Benefits

• Equity Compensation
• Comprehensive Benefits Package

Pay

The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range.

Schedule

Roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range.

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).