A love of technology and passion for your work! Imagine crafting 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 software engineers to design and develop models for the next generation of GPU-accelerated datacenters.
What you'll be doing:
Guiding the fundamental design, architecture, and implementation of modeling software used to define datacenter-scale accelerated computing platforms.
Promoting modern software architecture design patterns and tools to speed up development, boost performance, and improve code quality for the team.
Implementing industry-leading software and dev-ops standard methodologies tailored for rapidly growing teams, encouraging a culture of continuous improvement and innovation.
Making hands-on and significant contributions to a business-critical codebase, directly impacting cloud and datacenter technologies.
What we need to see:
Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred).
5+ years of development experience with scaled Python-based projects, demonstrating strong software engineering and analytical skills.
Excellent interpersonal skills with a track record of success contributing within multi-discipline teams.
Ways to stand out from the crowd:
Familiarity with system architecture and modeling, especially performance, power, or cost of distributed systems
Experience with hyperscale accelerated server architecture design and deployment
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
You will also be eligible for equity and benefits.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”









