Who We Are

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. 

What We Offer

Location:

Bangalore,IND

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. Visit our Careers website to learn more. 

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. Learn more about our benefits. 

About the Role:

We are seeking a highly motivated and skilled Operations Research 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.

Key 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.

Required Qualifications:

• Master’s or Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field.
• Minimum of 3 years of hands-on experience in applying optimization techniques in an industrial setting.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with optimization libraries and solvers like Gurobi, Hexaly, CPLEX, CP-SAT or Pyomo.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Key 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.

Required Qualifications

• Master’s or Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related field.
• Minimum of 3 years of hands-on experience in applying optimization techniques in an industrial setting.

Required Skills

• Proficiency in programming languages such as Python, C++, or Java.
• Experience with optimization libraries and solvers like Gurobi, Hexaly, CPLEX, CP-SAT or Pyomo.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Benefits & Perks

• Supportive work culture that encourages learning, development, and career growth.
• Programs and support for personal and professional growth.
• Care for health and wellbeing at work, home, or wherever you may go.