Logic Design Engineer
NVIDIA
Logic Design Engineer
NVIDIA
Designs the chips and software that power AI
The NVIDIA CPU team is a world-class, global organization united by a mission to push the boundaries of what’s possible and shape the future of computing. We are looking for a talented, fast-learning and highly motivated Logic Design Engineer to join our team. As part of the core design team, you’ll take ownership of parts of the design and work closely with architecture, verification, and physical design teams, contributing to a fast-moving, technology-focused environment and helping shape future products.
What you'll be doing:
As part of the CPU core team, you’ll take ownership of a unit.
Contributing to the micro-architecture, writing RTL and documentation.
Working closely with verification and implementation teams to meet timing, area, performance, and power goals.
What we need to see:
A Bachelor’s Degree in Electrical Engineering, Computer Engineering or Computer Science, or equivalent experience.
2+ years of experience in processor or other related high-performance semiconductor designs.
Hardware description language expertise required
Strong communication and interpersonal skills.
Ways to stand out from the crowd:
A strong background in computer architecture is highly desirable.
Experience with AI-assisted development tools (e.g., Cursor, Claude Code, or similar) is a plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the fastest and most power-efficient chips in their class? If so, come join our CPU design team, we want to hear from you!
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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