Architect - System Performance Verification and Analysis

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About the role

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world. As part of this team, you would be working on projects that will help make our next generation visual computing, automotive, GPU, HPC  systems better. You will get to work on high performance CPU and Memory sub-systems, Next-Gen GPUs , NOC based Interconnect Fabric etc. Make the choice to join us today. Our work spans the full pre-silicon and post-silicon lifecycle: performance models, RTL simulation, emulation platforms, and silicon bringup. We catch bugs early, influence architecture and design decisions, and help ensure that the final product delivers the performance that our customers depend on. If you are passionate about building the hardware that underpins the future of AI and computing, this is where you belong. What You'll Be Doing: • Partner with System Architecture, Usecase Modeling, Unit Architecture/PV, and Design/Verification teams to define comprehensive performance test plans that reflect real product usecases. • Drive full-chip SoC performance verification across all real engines and subsystems, running realistic concurrent workloads that represent how the product will be used by customers in the field. • Execute performance test plans across the full verification stack: cycle-accurate performance models, RTL simulation, emulation platforms, and silicon, identifying bottlenecks and regressions at each stage. • Debug performance failures through waveform analysis, signal-level queries, trace analysis, and system-level profiling to root-cause issues in the memory subsystem, fabric, or individual engines. • Influence architecture and microarchitecture decisions by surfacing performance data and trade-off analysis to the design and architecture teams early in the product development cycle. • Develop and maintain performance workloads, test suites, and infrastructure — including testbench components, performance simulators, analysis scripts, and automated regression flows. • Leverage AI-assisted tools and automation to accelerate repetitive analysis tasks, improve coverage, and free up engineering time for higher-level problem solving. This includes using LLM-based assistants for querying results and specs, AI-driven triage of regressions, and intelligent tooling that improves over time. • Drive methodology improvements to reduce verification turnaround time, improve coverage of representative workloads, and enable earlier performance insight in the product development cycle. What We Need to See: • B.E./B.Tech or M.S./M.Tech (or equivalent experience) in Electrical Engineering, Computer Science, or a related field. • 3+ years of relevant experience in SoC or system-level architecture, performance verification, or hardware validation. • Strong understanding of SoC architecture including GPU and CPU pipelines, memory subsystem design (caches, DRAM controllers, coherency), Network-on-Chip (NoC)/fabric architecture, and high-speed IO interfaces. • Hands-on experience with RTL simulation and debug, including waveform-based deb

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