Senior System Software Engineer
NVIDIA
Senior System Software Engineer
NVIDIA
Designs the chips and software that power AI
NVIDIA is redefining accelerated computing and powering the next era of artificial intelligence. Our data-center platforms bring together GPUs, CPUs, networking, systems, and software to solve some of the world’s most exciting computing problems. We are looking for a Senior System Software Engineer to join NVIDIA’s Datacenter Performance and Power Management Software team. You will be responsible for architecting production software for datacenter power management controllers. Your work will also cover cluster- level dynamic provisioning and power-management control system technologies for next-generation data-centers.
You will work at the intersection of hardware architecture, embedded firmware, device drivers, operating systems, and AI workloads. Your responsibilities will span the entire product lifecycle—from initial architectural design and pre-silicon validation through silicon bring-up, productization, and deployment in extensive data-center infrastructures. This is an outstanding chance to influence how next-generation NVIDIA GPUs provide top-tier performance, energy efficiency, and reliability.
What You’ll Be Doing:
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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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