AI-Driven MIP & Optimization Engineer

Intel; Phoenix (AZ); On-site; USD 150,000 - 211,000; Full time

Job summary

Intel is seeking a Software Research Engineer/Scientist in the United States (Arizona, Phoenix) to develop strategic software applications, algorithms, and AI solutions. You will prototype concepts, address industry challenges, and advance Intel's midterm and long-term objectives through rigorous research and development.

The role emphasizes cross-functional collaboration, data analytics, and dissemination of findings with a focus on scalable optimization models and impactful technology

Qualifications

• Master's degree in Operations Research, CS, or related field with 2+ years hands-on experience.
• Experience with optimization techniques and modeling.
• Proficiency in programming and software modeling.

Responsibilities

• Develop and optimize software applications and algorithms to address strategic technology challenges.
• Prototype and design proof-of-concept solutions to validate new ideas and methodologies.
• Formulate Linear and Integer Optimization models using algebraic modeling languages such as CPLEX/OPL, AMPL, or GUROBI.
• Explore the scalability and decomposition of large-scale MIP and CP models.
• Perform code reviews and ensure high standards of code quality and functionality.
• Utilize data analysis and visualization skills to derive insights and effectively communicate results.
• Collaborate with cross-functional teams, academic partners, and industry-standardization groups to drive impactful research and development initiatives.

Skills

Algebraic modeling

Optimization

Code review

Data analysis

Education

Master's degree in Operations Research/CS or related

Tools

CPLEX/OPL

AMPL

GUROBI

Job description

Intel is seeking a Software Research Engineer/Scientist in the United States (Arizona, Phoenix) to develop strategic software applications, algorithms, and AI solutions. You will prototype concepts, address industry challenges, and advance Intel's midterm and long-term objectives through rigorous research and development.

The role emphasizes cross-functional collaboration, data analytics, and dissemination of findings with a focus on scalable optimization models and impactful technology