Senior Resiliency and Safety Architect

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 like PCIE/CXL/USB/Networking, Camera Interfaces, etc; Multimedia accelerator pipelines.

• Proficiency in Verilog/SystemVerilog RTL 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

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company". Do you love the challenge of crafting the highest-performance silicon possible? If so, we want to hear from you! Come, join our Accelerated and Resilient Compute Systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.