Senior SoC Architect
NVIDIA
Senior SoC Architect
NVIDIA
Designs the chips and software that power AI
We are now looking for a Senior Hardware Architect for our Tegra System-on-Chips (SoC) focused on Reliability, Availability, and Serviceability (RAS). Do you want to be part of the Artificial Intelligence (AI) revolution? Interested in defining resilient computing platforms for datacenters, autonomous vehicles, edge systems, and other high-reliability applications? We are looking for an exceptional SoC architect to help define, drive, and deliver RAS hardware architecture across advanced CPUs and SoCs, from early architectural concepts through design implementation, verification, validation, and production readiness.
This position offers the opportunity to have real impact in a dynamic, technology-focused company developing innovative processor and system architectures at the forefront of machine learning, autonomous vehicles, high-performance computing, and edge computing. Work with world-class systems architects, RAS experts, design teams, verification teams, validation teams, firmware teams, and software partners to define end-to-end hardware RAS features that improve system resiliency, observability, debuggability, error containment, recovery, and serviceability. Space and radiation-aware design are important areas of interest for this role, including understanding how radiation effects can influence SoC reliability, but the primary focus is broad SoC RAS architecture and driving features successfully through the product development flow.
What you’ll be doing:
What we need to see:
Ways to stand out from the crowd:
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative, autonomous, and motivated to define and deliver resilient SoC architectures that improve reliability, debuggability, and serviceability across demanding applications, we want to hear from you!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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