ArchDesign Co-Design Engineer(NCG)

We are seeking an ArchDesign Co-Design Engineer(NCG) to join our Silicon Co-Design Group (SCG) team at NVIDIA. As a member of this team, you will work at the intersection of design, architecture, marketing, operations, and productization. Your primary focus will be on silicon co-design through prototyping and design of experiments.

Key Responsibilities:

• Design and develop silicon co-design prototypes and measurement setups to analyze power-rail noise, circuit margin, performance, and binning behavior.
• Plan and execute design of experiments (DOE) to characterize and optimize silicon behavior.
• Build Python pipelines and analyses to turn prototype, DOE, simulation, and characterization data into actionable insights and inputs for firmware tuning, product specs, and manufacturing limits.
• Collaborate with cross-functional teams, including architecture, design, validation, and firmware, to ensure seamless integration and iteration of the prototype.
• Utilize secure, traceable, and validated AI-assisted workflows for experiment planning, analysis, and documentation.

Requirements:

• Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• At least 2 years of experience in a related silicon, validation, characterization, productization, or engineering-tools role.
• Working knowledge of silicon speed/power/quality concepts, such as DVFS, Vmin/Fmax, shmoo, PDN/noise, binning, or guardband.
• Hands-on experience with lab or post-silicon bring-up, experiment or characterization campaigns, manufacturing test/limits, or tools/pipelines that consume chip data.
• Proficiency in Python (or similar) for data analysis, automation, and validation; comfort with Git and structured test/regression.

Nice to Have:

• Experience running a test-chip, prototype vehicle, or characterization DOE.
• Direct experience on GPU/SoC/CPU power, performance, binning, PDN/noise, or sim-to-silicon correlation.
• Shipped an internal tool, dashboard, or data pipeline (Python, databases, web apps) that other people use.
• Hands-on experience with large language models (LLMs) in an engineering workflow.

NVIDIA offers competitive salaries and a generous benefits package.