Description
NVIDIA is 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.
Responsibilities:
- 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.
Requirements:
- 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.
Nice to Have:
- 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.