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As a Senior Hardware Design Engineer at NVIDIA, you will architect, design, and verify SoCs and GPUs. Responsibilities include building architectural trade-offs, working with RTL and debugging tools, drafting specifications, and collaborating across teams to ensure functional validation and performance optimization.

The Senior Ballout Designer will collaborate with System Level Architects and product teams to develop high-performance semiconductor BGAs pinouts, optimizing for signal integrity. The role includes coordinating with design teams on specifications, optimizing layout for minimal crosstalk, and power delivery. Additionally, the designer will leverage knowledge in PCB technologies and work cross-functionally on complex projects.

As a Senior CPU Implementation Methodology Engineer, you will lead the front-end design implementation methodologies for CPU designs, focusing on generating new ideas, improving power, performance, and area (PPA) while collaborating with design teams and providing support for EDA tools.

As a Senior ASIC Power Engineer, you will be responsible for developing innovative hardware and GPU designs, implementing power metrics, and driving power reductions. You will collaborate with architects and VLSI teams to deliver fully verified RTL designs that meet high performance, area, and power efficiency targets.

The Senior ASIC Verification Engineer will be responsible for the validation of Clocking structures in Tegra SOC GPU ASIC products, developing scalable solutions, coding in various languages, collaborating with design and QA teams, and implementing test plans for pre-silicon platforms.

As a Senior ASIC Verification Engineer, you will verify design and implementation of cutting-edge SoCs and GPUs, develop verification infrastructure, execute advanced methodologies, and collaborate with cross-functional teams to ensure design correctness.

Design, develop and optimize AI solutions, tackle large-scale distributed systems for AI training and inference deployment, analyze and improve AI libraries and APIs, and publish results on platforms like Github. Must possess strong AI algorithm skills and programming capabilities.