Senior Silicon Product Engineer, DFP – Manufacturing

Overview

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high-volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency s role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle.

• Own end-to-end manufacturing test methodology across all test stages.
• Translate system specs and product POR into DFP requirements, test content, coverage, and flows.
• Define and maintain the DFP roadmap, including infrastructure and turning point planning.
• Partner multi-functionally to implement test content, debug hooks, and coverage improvements.
• Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs.
• Embed testability requirements into design to enable robust screening and debug.
• Define data and analytics frameworks to support yield analysis and continuous improvement.
• Lead DFP documentation as the single source of truth and feed findings into future methodologies.

• MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
• 6+ years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar.
• Hands-on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization.
• Proficiency with scripting and data analysis (Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis.
• Demonstrated ability to drive multi-functional alignment around plans, dependencies, and sign‑off criteria.
• Excellent communication skills and comfort authoring structured technical documents and test plans used by global manufacturing and validation teams.
• Prior ownership of manufacturing test strategy for a major silicon product (e.g., GPU/SoC/CPU) from early planning through ramp to QS/production.

• Strong AI-enabled skills and thinking – use AI to accelerate analysis, exploration, and documentation while maintaining rigor, originality, and judgment.
• Experience with AI tools (LLMs, copilots, intelligent search) to explore architectures, test strategies, and design options.
• Building AI-assisted validation and debug workflows (log triage, anomaly detection, pattern recognition, data analysis).
• Share effective methods, prompts, and tools to elevate team efficiency while maintaining technical rigor.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. NVIDIA does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Applications for this job will be accepted until June 15, 2026.