Principal Supply Chain Modeling Engineer

NVIDIA•Santa Clara, CA

2d•$240,000 - $379,500

About The Position

NVIDIA is seeking an elite, hands-on Principal Engineer who specializes in supply network simulation. This person will serve as the core technical architect and strategic partner to our Vice President. In this critical individual contributor role, you will not manage a team. You will personally own and compose highly complex mathematical models that dictate our global hardware procurement strategy. Your models will directly simulate and forecast our demand for fundamental technology elements, including semiconductor wafers, memory devices, substrates, and key sub-assemblies that require lengthy procurement periods. You must be an absolute modeling purist who thrives on extreme detail and possesses deep technical coding skills. Your role includes future-proofing our infrastructure by improving deterministic systems with modern AI capabilities. If passionate about supply chain and working at the forefront of the AI revolution, come show us what you got!

Requirements

Bachelor’s degree within Operations Research, Industrial Engineering, Computer Science, Data Science, Mathematics, Statistics, Physics, or an equivalent quantitative engineering discipline (or equivalent experience).
Proficiency in Python (specifically libraries like Pandas, NumPy, SciPy) and MATLAB is non-negotiable.
15+ Years of Quantitative Experience: with Proven track record of personally building, running, and deploying complex mathematical, simulation, or financial models.
2+ years of practical, hands-on experience designing, training, and deploying AI or algorithms based on learning from data (not just theoretical knowledge).
Ability to build complex, formula-dense spreadsheets, macro automation, and data models where rapid prototyping is required.
Demonstrated success in identifying edge-case anomalies in massive datasets that others miss.
Demonstrated experience presenting raw data and model architectures directly to VP-level leadership.

Nice To Haves

Advanced degree (Master’s or PhD) with a focus on optimization, simulation, or machine learning, or equivalent experience.
Prior background in the technology hardware, semiconductor, or electronics supply chain sectors.
Familiarity with capacity planning, inventory theory, or procurement logistics.
Experience deploying AI models into live cloud environments (e.g., AWS, Azure, GCP).

Responsibilities

Personally write, debug, and scale advanced simulation models in Python, MATLAB, and Excel from scratch.
Upgrade traditional simulations by building and deploying Machine Learning (ML) and AI models to predict supply anomalies, market disruptions, and non-linear demand shifts.
Build deterministic and stochastic models to simulate multi-variable demand scenarios for silicon wafers, memory, substrates, and critical long-lead-time sub-assemblies.
Translate complex algorithmic and AI-driven outputs into clear, actionable financial and operational recommendations directly for the VP.
Audit massive datasets to ensure extreme precision, as your model outputs will directly commit millions of dollars in spend.
Constantly stress-test, refine, and modernize legacy planning sheets into automated, high-performance computing scripts.
Partner closely with supply chain, procurement, finance, and engineering teams to evaluate scenario-based planning and long-range sourcing strategies.