CPU System Software Architect
NVIDIA
CPU System Software Architect
NVIDIA
Designs the chips and software that power AI
We are now looking for a CPU System Software Architect!
Do you want to be a part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is developing processor and system architectures that are at the forefront of accelerating agentic AI, building data centers, and enabling other high-performance computing applications. We are architecting the most advanced CPUs and SoC's in the world for these applications and are looking for software architects to join our effort. In this position, you will have the opportunity to work with teams to maximize the potential of our SoC products, bringing together NVIDIA CPUs, GPUs, custom processors and accelerators. Your role will be cross disciplinary, collaborating with industry partners, customers, internal architects, software, ASIC design, verification, and platform teams. Our software architects excel at pushing the state of the art, while making the best engineering trade-offs.
What you’ll be doing:
Collaborate with Hardware and Software Engineers to craft the next generation CPUs and SoCs
Bring a deep understanding of Software Architecture, system software technologies, and modern OSes to drive hardware architecture decisions
Provide direction and advice for designing optimized solutions to various software engineering organizations
Collaborate with key partners to customize solutions to meet their requirements
Research upcoming industry directions for NVIDIA's key markets and provide engagement advice to Sr. Management
What we need to see:
You have a MS or PhD degree in computer or electrical engineering or equivalent experience
15+ years of software and/or architecture experience with CPUs and SoCs.
A deep knowledge of OS/driver software stacks, e.g., Linux and a very strong Software development background with C
Excellent communication skills to describe hard problems in simple terms and drive multi-functional groups to efficient engineering solutions
Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a global team
Ways to stand out from the crowd:
Excellent understanding of processor architectures such as ARM, RISC-V, x86
Background with virtualization technologies and hypervisors
Familiarity with CPU and SoC security architecture, such as ARM Confidential Compute
Experience in working with the Linux open source community
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're creative, autonomous and love a challenge, 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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