Senior Supply Chain Optimization Modeler (LP/MIP)
NVIDIA Corporation
A complete application in a minute
Tailored resume and cover letter, ready to send.
Job summary
NVIDIA Corporation in Santa Clara, CA is seeking a deeply quantitative optimization modeler to own and extend a production linear programming model. You will translate evolving supply chain realities into formal mathematical formulations and collaborate with procurement, operations, and engineering to turn insights into actionable strategies.
The role demands a strong background in LP/MIP, advanced optimization techniques, and experience with MATLAB, Gurobi, or CPLEX.
Qualifications
- Master’s degree or PhD in a quantitative field or equivalent experience.
- 8+ years in modeling, engineering, or data science roles.
- Hands-on LP/MIP formulation and dual variable extraction experience.
Responsibilities
- Own and extend a production linear programming optimization model.
- Develop constraint matrices, objective functions, and diagnostics.
- Maintain rigorous mathematical understanding of the system.
- Translate supply chain realities into solvable mathematical formulations.
- Analyze shadow prices and sensitivities to drive executive decisions.
- Ensure data lineage and model input integrity across teams.
- Collaborate with supply chain, procurement, and engineering partners.
- Act as a quantitative thought partner to senior leadership.
- Explore integration of AI and CUDA-accelerated optimization.
Skills
Education
Tools
Job description
NVIDIA Corporation in Santa Clara, CA is seeking a deeply quantitative optimization modeler to own and extend a production linear programming model. You will translate evolving supply chain realities into formal mathematical formulations and collaborate with procurement, operations, and engineering to turn insights into actionable strategies.
The role demands a strong background in LP/MIP, advanced optimization techniques, and experience with MATLAB, Gurobi, or CPLEX.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
