Senior Chip Architect, Next Gen Networking
NvidiaIsrael и ещё 1 городот 7 летПолная занятость
EthernetDesign VerificationDigital DesignASIC DesignChip ArchitectureHigh-Performance NetworkingAI SupercomputersHyperscale Data CentersNext-Gen NetworkingNVL
Описание
As a Chip Architect at NVIDIA, you will play a central role in defining the architecture of 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.
Responsibilities
- 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.
Requirements
- 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
Nice to have
- 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