Senior Architect
NVIDIA
Senior Architect
NVIDIA
Designs the chips and software that power AI
Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.
What you'll be doing:
Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.
What we need to see:
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
Proven track record of contributions to scaled Python-based software projects
Ways to stand out from the crowd:
Experience with accelerated server architecture design and deployment, especially up to hyperscale.
Background in parallel computing, server architecture, or datacenter design.
An excitement and curiosity about the future of accelerated computing and AI
Expertise in data analysis and visualization, especially pandas and associated technologies
A love of technology and passion for your work!
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 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.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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