Senior Silicon Product Architect, Performance and Power

NVIDIA has been redefining accelerated computing, computer graphics, and artificial intelligence through groundbreaking technology and exceptional people. We are seeking a Senior Silicon Product Architect to define the technical strategy for next-generation products by connecting silicon capabilities, customer workloads, and system-level opportunities!

As part of Silicon CoDesign, you’ll connect silicon capabilities with customer workloads, develop innovative features and system-level solutions, and guide product strategy. You’ll own the Product Soul, advise engineering teams, and mentor engineers across the computing stack

• →Product vision: Own the Product Soul, turning customer needs and workloads into clear performance, power, and efficiency goals, priorities, and tradeoffs.
• →Performance and power co-design: Architect next-generation performance and power management features and system-level solutions, partnering across teams from concept through silicon to shipping products.
• →Competitive edge: Benchmark competing architectures and prioritize investments that improve performance, power efficiency, product differentiation, and customer value.
• →Product decisions: Define operating points, configurations, and binning strategies with engineering teams; validate models against silicon data and flag gaps and risks early.
• →Team impact: Mentor engineers, lead technical reviews, and set a high standard for data analysis, technical reasoning, and clear communication.

• MS or PhD in EE, CE, CS, systems engineering, or equivalent experience.
• 12+ years in silicon or system performance and power, with ownership of product architecture or technical strategy.
• Strong judgment in turning customer and business needs into measurable product goals and architectural decisions.
• Deep silicon performance and power expertise, including device behavior, voltage-frequency characteristics, process variation, power management, and electrical and thermal limits.
• Broad CPU, GPU, or SoC architecture knowledge, including memory, interconnects, and hardware/software co-design.
• Experience with first-principles modeling, workload analysis, competitive benchmarking, statistics, and data analysis.
• Strong technical writing, presentation, and mentoring skills, with experience influencing decisions across global and offshore teams.

• Understanding of LLM architectures and training or inference workloads.
• Experience with rack or datacenter performance and power, or across client, embedded, automotive, and networking products.
• Hands-on experience with silicon bring-up, performance and power characterization, operating points, or binning.
• A record of proposing novel system-level concepts or features with measurable product value.

Join NVIDIA to help solve some of computing’s most challenging problems.

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This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.