GPU/SOC Low-Power Feature Architect
NVIDIA
GPU/SOC Low-Power Feature Architect
NVIDIA
Designs the chips and software that power AI
NVIDIA Silicon Co-Design Group is seeking a versatile engineer to be part of the HW ArchDev team. The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition, through bringup, to product release.
Our ArchDev arm is a hub for all silicon and system-level feature development, cost-benefit analysis, system integration solutions, and system POR alignment. As a member of this team, you will dive into next-gen high-speed interconnects like NVLink and NVLink-C2C to make advancements in efficiency and stability. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting product lines ranging from artificial intelligence to consumer graphics to self-driving cars and more.
What you’ll be doing:
What we need to see:
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you to join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
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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