We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. NVIDIA’s next-generation Ethernet and NVL switches are at the core of the world’s most advanced compute clusters — from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at NVIDIA, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology.
What You'll Be Doing:
Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle — from early concept to deployment.
Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options.
Lead research and exploration of future architectures, including innovation that contributes to patent development.
Collaborate closely with cross-functional teams — including other architecture groups, logic design, firmware, system software, and research — to ensure successful execution and integration.
Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization.
What We Need to See:
BSc or MSc in Electrical Engineering, Computer Engineering, or related field
7+ years of proven experience in chip architecture, digital design, or design verification
Solid understanding of digital ASIC design and strong familiarity with the full chip development cycle
System-level thinking — ability to reason across hardware/software boundaries and understand how switch architecture impacts end-to-end performance
Comfortable navigating between RTL, models, and system software to drive architectural clarity
Ways to Stand Out from the Crowd:
Deep knowledge of networking and compute systems
Hands-on experience in system architecture across domains such as networking, CPUs, GPUs, or memory subsystems
Background in in-network computing or data-path acceleration
NVIDIA has some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. It’s not just technology though! It is our people, some of the brightest in the world, and our company diverse culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.
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.”
