Datacenter Resiliency Architect - New College Grad 2025

Job Description

NVIDIA is seeking a Resiliency Architect to support the development and validation of GPU hardware and software resiliency features in the field of artificial intelligence and high-performance computing.

Requirements

• Pursuing or recently completed a Master’s or PhD degree in Computer Engineering, Electrical Engineering or closely related degree or equivalent experience.
• Familiarity with GPU and Networking Architectures, Computer Architecture basics, Machine Learning/Deep Learning concepts.
• Proficiency in RAS concepts and in developing Architecture models.
• Scripting and automation with Python or similar.
• Proficiency in C/C++.
• Excellent interpersonal skills and ability to collaborate with on-site and remote teams.
• Strong debugging and analytical skills.
• Self-driven and results oriented.

Responsibilities

• Architect hardware and software Resiliency features to improve system Reliability, Availability, Serviceability (RAS), and performance in the Datacenter.
• Model and analyze RAS metrics like Failures in Time for permanent and transient errors, and Availability from GPU to Rack to Datacenter.
• Collaborate with architects, unit designers and software engineers to ensure alignment of verification requirements.
• Develop and implement comprehensive architecture verification testplans for resiliency features.
• Support test debug on RTL, emulation, and silicon.
• Develop CUDA software diagnostics kernels for to run on clusters of NVIDIA GPUs and identify potential hardware issues.
• Develop and automate fault models to simulate various fault types in gate-level netlist, RTL, architectural model, silicon and other environments.

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching