NVIDIA

4 weeks ago

Principal Supply Chain Modeling Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 minutes agoStatus: Live

Job Summary

Hands-on principal engineer specializing in supply network modeling. Owns and extends complex mathematical models to forecast demand for wafers, memory, substrates and long-lead sub-assemblies, integrates AI/ML enhancements, and partners with VP-level leadership to drive procurement strategy and financial outcomes.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Director level

Key Responsibilities

•Write, debug, and scale advanced simulation models in Python, MATLAB and Excel from scratch
•Upgrade simulations by building and deploying ML/AI models to predict supply anomalies and non-linear demand shifts
•Build deterministic and stochastic models to simulate multi-variable demand scenarios for silicon wafers, memory, substrates and long-lead-time sub-assemblies
•Translate complex algorithmic outputs into clear, actionable financial and operational recommendations for the VP
•Audit massive datasets to ensure extreme precision and automate legacy planning sheets into high-performance scripts

Pay and Benefits

Salary: USD 240,000 - 379,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Proficiency in Python (Pandas, NumPy, SciPy) and MATLAB
•15+ years of quantitative experience building, running, and deploying complex mathematical, simulation, or financial models
•Hands-on AI/ML experience (2+ years) designing, training, and deploying AI/ML models
•Ability to build complex, formula-dense spreadsheets, macro automation, and data models for rapid prototyping
•Extreme attention to detail; experience identifying edge-case anomalies in large datasets and presenting results to VP-level leadership

Experience:15+ yearsSupply chainOptimizationSimulationAIMLOperations research

Education:Bachelor's

Skills:PythonMATLABPandasNumPySciPyExcel

Tech Stack:PythonMATLABPandasNumPySciPyExcel

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

4 weeks ago

Principal Supply Chain Modeling Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 minutes agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Director level

Key Responsibilities

•Write, debug, and scale advanced simulation models in Python, MATLAB and Excel from scratch
•Upgrade simulations by building and deploying ML/AI models to predict supply anomalies and non-linear demand shifts
•Build deterministic and stochastic models to simulate multi-variable demand scenarios for silicon wafers, memory, substrates and long-lead-time sub-assemblies
•Translate complex algorithmic outputs into clear, actionable financial and operational recommendations for the VP
•Audit massive datasets to ensure extreme precision and automate legacy planning sheets into high-performance scripts

Pay and Benefits

Salary: USD 240,000 - 379,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Proficiency in Python (Pandas, NumPy, SciPy) and MATLAB
•15+ years of quantitative experience building, running, and deploying complex mathematical, simulation, or financial models
•Hands-on AI/ML experience (2+ years) designing, training, and deploying AI/ML models
•Ability to build complex, formula-dense spreadsheets, macro automation, and data models for rapid prototyping
•Extreme attention to detail; experience identifying edge-case anomalies in large datasets and presenting results to VP-level leadership

Experience:15+ yearsSupply chainOptimizationSimulationAIMLOperations research

Education:Bachelor's

Skills:PythonMATLABPandasNumPySciPyExcel

Tech Stack:PythonMATLABPandasNumPySciPyExcel

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor