Industrial Engineer II

CRB's over 1,100 expert professionals drive innovative, life-changing and life-saving solutions for manufacturers in the life sciences and food and beverage industries. Our mission, vision, and core values put client satisfaction and employee experience at the center of everything we do.

As an AEC Firm we proudly specialize in industries that inherently carry important social responsibility - we recognize our impact and influence in the communities we serve and pursue corporate responsibility through the lens of people, community, and planet. From oncology and rare disorders to COVID-19 or alternative proteins, our design and construction projects are pioneering solutions addressing important issues such as food scarcity and global health.

Job Description

Position Summary

The Industrial Engineer II will play a key role in designing and optimizing manufacturing environments using advanced simulation tools. This position focuses on improving throughput, reducing waste, and enhancing operational efficiency through data-driven modeling and analysis. The ideal candidate will have hands-on experience with simulation software and a strong understanding of manufacturing systems in regulated industries.

Key Responsibilities

• Develop and validate discrete event simulation models to analyze and optimize manufacturing workflows, equipment utilization, and facility layouts.
• Collaborate with cross-functional teams to gather input data and define model parameters.
• Interpret simulation results to provide actionable recommendations for process improvements and layout changes.
• Support the design of manufacturing environments including cleanrooms, packaging areas, and support spaces.
• Conduct time studies, bottleneck analyses, and capacity planning using simulation and analytical tools.
• Prepare technical reports, visualizations, and presentations for internal and client stakeholders.
• Assist in the development of digital twins and virtual commissioning strategies.
• Ensure compliance with GMP, FDA, and other regulatory standards in simulation-based design decisions.

Qualifications

• Bachelor’s degree in Industrial Engineering, Systems Engineering, or related field.
• 3–5 years of experience in manufacturing systems design and optimization.
• Proficiency in simulation software such as  FlexSim ,  Arena ,  Simio ,  AnyLogic , or equivalent.
• Strong analytical skills and experience with data modeling and statistical analysis.
• Familiarity with lean manufacturing, Six Sigma, and continuous improvement methodologies.
• Excellent communication and collaboration skills.

Preferred Skills

• Experience in life sciences, pharmaceutical, or food & beverage manufacturing environments.
• Knowledge of facility layout planning and process flow mapping.
• Exposure to BIM tools (e.g., Revit) and integration with simulation platforms.
• Ability to manage multiple projects and deliverables in a fast-paced environment.

Additional Information

CRB offers a complete and competitive benefit package designed to meet individual and family needs.

CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening.

CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails.

CRB offers a complete and competitive benefit package designed to meet individual and family needs.

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.