Internship Optimization Engineer Jobs in Atlanta, GA

Based full-time and onsite at the Kennesaw, GA facility located at 1025 Cobb Place Boulevard, 30145.

Following the successful completion of the initial onboarding and acclimation period, this position may offer a hybrid option to work remotely up to one or two days per week.

• Deployment: Ensure that methods and tools developed in the group impact the Carrier business through engagement in global product projects, including capture and formulation of computational problems arising in such projects that relate to “supervisory” control formulations, trade studies and implementation. Use control theoretic tools for robustness and stability guarantees in addition to performance optimality.
• Modeling for optimization: Ensure that models used for system-level optimization for integrated and distributed HVAC energy systems fulfill the requirements for efficient optimization, including non-linear programming and mixed integer/discrete programming respectively.
• Methods, tools and algorithms: Ensure that appropriate computational methods, tools and algorithms for designing dynamic, optimal supervisory control are based on sound mathematical foundations and are deployed to match the needs of the Carrier business.
• Modeling for dynamic supervisory control: Support development of mathematical models for thermo-fluid systems that are built based on principles and best practices that secure reliable application of numerical optimization algorithms for control applications.
• Talent: Support development and training of staff within Carrier product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and these.

• Master’s Degree in Engineering or Sciences
• 10+ years in engineering role with a strong element of model-based computation and optimization
• Willing and able to travel domestically and internationally up to 10% of the year

• PhD Degree in an Engineering discipline (applied mathematics, mechanical, control, engineering physics, or chemical engineering)
• Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs and MILPs), including attention to reliable convergence of such problems
• In-depth knowledge and experience with mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems
• Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems
• Knowledge about discrete optimization formulations, methods, and algorithms is a merit
• Expertise and experience with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants
• Experience with designing and deploying real-time optimization algorithms with application to estimation and control
• Familiarity and experience with development of computational platforms and tools in Python or equivalent
• Expertise with Pyomo is a merit
• Familiarity with using HPC and cloud-based platforms for computation at scale
• Demonstrated ability to lead and work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment
• Self-starter who is well-organized in an international team environment, and has excellent interpersonal, leadership and communication skills

The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.

Position is entitled to short-term cash incentives, subject to plan requirements.

• Health Care Benefits: Medical, Dental, Vision; Wellness incentives
• Retirement Benefits
• Time off and Leave: Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
• Disability: Short-term and long-term disability
• Life Insurance and Accidental Death and Dismemberment
• Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
• Tuition Assistance

Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section503 of Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act. If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.