2 days ago
Cupertino, CA, USAMid Level
H1B sponsor
Responsibilities
- Apply mathematical modeling, statistical analysis, and optimization algorithms to complex manufacturing challenges.
- Transform operational data into actionable decisions affecting factory throughput, supply chain strategies, and cost reduction.
- Develop and use simulation models and machine learning methods for operational analysis.
- Build GenAI applications with agents and agentic workflows, when applicable.
- Support distributed LLM training and inference using cloud, orchestration, and computing tools, when applicable.
- Explain complex statistical and mathematical theories to non-technical stakeholders through clear communication and presentations.
Requirements
- Master’s degree or PhD in Operations Research, Industrial Engineering, Management Science, Applied Mathematics, or a related field.
- Proficiency with Gurobi, CPLEX, CP-SAT, Pyomo, and GAMS or comparable optimization solvers and modeling languages.
- Hands-on experience with Arena, FlexSim, SimPy, and AnyLogic or comparable simulation platforms.
- Experience with PyTorch and Scikit-learn.
- Excellent communication and presentation skills.
- Preferred experience building GenAI applications with agents and agentic workflows.
- Preferred experience with LLM and LMM development and fine-tuning.
- Preferred proficiency with GenAI tools such as Claude Code and Roo Code.
- Familiarity with distributed computing, cloud infrastructure, and orchestration tools such as Kubernetes, Apache Airflow, Docker, Conductor, and Ray.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.