NVIDIA seeks a highly motivated Supply Chain Network Analyst to support the design, analysis, and optimization of our global supply chain network. This role sits at the intersection of network strategy and data analytics - you will both build and run optimization models and ensure the data powering those models is accurate, complete, and trusted. You will work closely with Logistics and Fulfillment teams to evaluate network performance, identify inefficiencies, and translate complex analyses into clear recommendations that drive real operational decisions. This is a high-impact role for someone who thinks rigorously about supply chain structure, is comfortable building quantitative models from the ground up, and understands that great network design starts with great data.
What You'll Be Doing:- Design and evaluate global supply chain network configurations, including warehouse footprint, transportation lane routing, and distribution strategies
- Build and run cost-to-serve models, capacity models, and service-level tradeoff analyses to support strategic network decisions
- Conduct scenario planning and sensitivity analyses to evaluate network changes driven by business growth, demand shifts, or supply disruptions
- Partner with Logistics and Fulfillment teams to assess network performance, identify inefficiencies, and develop actionable routing, capacity, and cost improvement recommendations
- Translate complex optimization model outputs into clear, executive-ready insights and recommendations
- Develop and maintain data pipelines and analytical models that feed network optimization tools, ensuring inputs are reliable and timely
- Establish data quality standards and ownership practices for logistics master data - carriers, lanes, locations, lead times, and costs
- Identify and resolve root causes of data defects to maintain model integrity across the supply chain network
What we need to see:- Bachelor's degree in Supply Chain, Industrial Engineering, Operations Research, Business Analytics, or a related field (or equivalent experience)
- 8+ years of experience in supply chain network analysis, logistics operations, or supply chain strategy
- Hands-on experience building and running network optimization or cost-to-serve models - not just interpreting outputs
- Experience working with logistics data including transportation lanes, carriers, shipments, lead times, and service performance metrics
- Proficiency in SQL and at least one scripting language (Python or R) for data analysis and automation
- Strong analytical and communication skills, with the ability to present complex findings clearly to Logistics and Fulfillment stakeholders
Ways to stand out from the crowd:- Network optimization platform background - Coupa/LLamasoft, o9 Solutions, Kinaxis, or similar
- TMS and/or WMS platform experience in a logistics or fulfillment environment
- Agentic AI tool exposure - NVIDIA Omniverse or Palantir applied to supply chain simulation, digital twin modeling, or operational intelligence
- Cloud data platform experience - Snowflake, Databricks, or Google Cloud
- Background supporting global logistics operations across multiple regions or distribution tiers
NVIDIA offers competitive salaries and a generous benefits package, and is widely regarded as one of the technology industry's most sought-after employers. If supply chain strategy, quantitative modeling, and the opportunity to shape global logistics operations sound like the right challenge - we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 27, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
