NVIDIA is seeking a GPU System Architect to design and architect multi-GPU systems for next-generation datacenter platforms focused on AI and HPC. The role involves defining system architectures that integrate GPU compute, memory, and communication subsystems to achieve high performance and scalability. The ideal candidate will have extensive experience in system-level architecture and hardware-software co-design. This position offers the opportunity to work on cutting-edge technologies in a collaborative environment.

• BS/MS/PhD in Electrical Engineering, Computer Engineering, or equivalent experience.
• 8 years or more of relevant experience in system design and/or ASIC/SoC architecture for GPU, CPU or networking products.
• Deep understanding of communication interconnect protocols such as NVLink, Ethernet, InfiniBand, CXL and PCIe.
• Experience with RDMA/RoCE or InfiniBand transport offload architectures.
• Proven ability to architect multi-GPU/multi-CPU topologies with awareness of bandwidth scaling, NUMA, memory models, coherency and resilience.
• Experience with hardware-software interaction, drivers and runtimes, and performance tuning for modern distributed computing systems.
• Strong analytical and system modeling skills using Python, SystemC, or similar.
• Excellent cross-functional collaboration skills with silicon, packaging, board, and software teams.

• Architect multi-GPU system topologies for scale-up and scale-out configurations, balancing AI throughput, scalability, and resilience.
• Define, modify and evaluate future architectures for high-speed interconnects such as NVLink and Ethernet co-designed with the GPU memory system.
• Collaborate with other teams to architect RDMA-capable hardware and define transport layer optimizations for GPU-based large scale AI workload deployments.
• Use and modify system models, perform simulations and bottleneck analyses to guide design trade-offs.
• Work with GPU ASIC, compiler, library and software stack teams to enable efficient hardware-software co-design across compute, memory, and communication layers.
• Contribute to interposer, package, PCB and switch co-design for novel high-density multi-die, multi-package, multi-node rack-scale systems consisting of hundreds of GPUs.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.