Nvidia Senior Resiliency Safety Architect 

United States, California 

80412419

What you'll be doing:

• Collaborate with architects, unit designers and software engineers to ensure alignment on verification requirements.

• Develop and implement comprehensive architecture verification testplans for resiliency and functional safety features

• Execute Architecture Testplan by developing test content, working with Software and Architecture teams to enable, run, and debug tests on Architecture models. Support test debug on RTL, emulation, and silicon.

• Run simulations to analyze Architectural Vulnerability Factor, Liveness of on-die memory, and Fault Injection

• Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs.

• Develop and automate fault models to simulate various fault types (e.g., transient faults, stuck-at faults) in both RTL and gate-level netlists.

• Collaborate with safety engineering teams to define metrics to ensure adherence to functional safety standards

• Optimize hardware and software features to improve system robustness, performance, and security.

• Model and analyze RAS metrics like Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF

What we need to see:

• Master’s or PhD degree in Computer Engineering, Electrical Engineering or closely related degree or equivalent experience.

• At least 5+ years of relevant experience.

• Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, coherence, buses, direct memory access, etc.).

• Strong knowledge and industry expertise in multiple aspects of GPU/SoC architecture definition - Clocks, Resets, Boot Sequence, Power Management, Interrupts, Memory Controller, Virtualization, Security, System Performance, IO technologies, High Speed links likePCIE/CXL/USB/Networking,Camera Interfaces, etc; Multimedia accelerator pipelines.

• Proficiency inVerilog/SystemVerilogRTL simulations and debug. Ability to setup testbench and integrate various components.

• 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.

• Be self-driven and results oriented.

Ways to stand out from the crowd:

• Experience with resiliency and functional safety.

• Exposure to Fault Injection Simulations

• Familiarity with GPU and SOC Architectures, Machine Learning/Deep Learning concepts

• Programming with CUDA