Operations Research Practitioner

Applied Materials • Santa Clara, CA

2d • $152,000 - $209,000

About The Position

We are seeking a highly motivated and skilled Optimization Engineer to join our team. The ideal candidate will have a strong academic foundation in operations research, applied mathematics, or a related field, coupled with practical experience in solving complex optimization problems in industrial settings and good programming skills. You will work closely with cross-functional teams to design, develop, and implement optimization models that drive efficiency in our product line. You will have proficiency in C++.

Requirements

• Master’s Degree with 2 or more years of professional experience, or
• Bachelor’s degree with 7 or more years of professional experience
• Proficiency in C++

Nice To Haves

• Someone who has the drive and passion to learn quickly, pays attention to details, has the ability to multi-task and switch contexts based on business needs.

Responsibilities

• Design and develop mathematical models to solve real-world optimization problems in manufacturing where available time to results is constrained.
• Implement and solve models using commercial solvers like Gurobi, Hexaly, CPLEX. or open-source alternatives.
• Collaborate with software engineers to integrate optimization solutions into production systems.
• Analyze large datasets to extract insights and validate model assumptions.
• Communicate findings and recommendations to stakeholders through clear visualizations and reports.
• Stay updated with the latest research and advancements in operations research and optimization technologies

Benefits

• You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers.
• We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
• At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees