Principal Optimization Engineer

Join Carrier’sComputational Engineering team within the Systems & Controls Center of Excellence inLund, Sweden and help shape the future of HVAC innovation.

We develop advancedmodel-based methods, optimization algorithms, and ML-enabled tools that power smarter product design, improved system performance, and efficient real-world operation. Our work directly impacts global products by turning complex engineering challenges into scalable, data-driven solutions.

You’ll collaborate withinternational product teams, research institutions, and cross-functional experts to bring cutting-edge optimization and control strategies into real-world applications.

Your key responsibilities will be the following

•Design and deploy optimization methods and tools for thermo-fluid systems (chillers, heat pumps, hydronic systems)

• Translate business and engineering needs intomathematical models and decision-making workflows

• Develop and implementoptimization-based control strategies (e.g., MPC, real-time optimization)

•Partner with global product teams toembed advanced tools into product development and operation

•Ensure robust, scalable approaches usingnon-linear and mixed-integer optimization techniques

• Drive adoption ofML/surrogate models in optimization workflows

•Collaborate across modeling, controls, and platform teams to deliverend-to-end solutions

•Mentor engineers, support training initiatives, and contribute totechnology roadmap development

Who we're looking for
 

Required

• Master’s degree in Engineering, Applied Mathematics, or related field

•Extensive experience in model-based engineering, optimization, or computational methods

Preferred

• PhD in Mechanical, Control, Applied Math, Engineering Physics, or Chemical Engineering

•Considerable experience in numerical optimization (NLP, MILP) and solver tools (e.g., IPOPT, KNITRO)

•Deep understanding of optimization theory, numerical methods, and algorithm design

•Experience with thermo-fluid systems modeling (HVAC, vapor compression, energy systems)

•Experience with real-time optimization and control systems

•Proficiency in Python (Pyomo preferred) and scalable computing platforms (cloud/HPC)

•Proven ability to lead in multidisciplinary, global environments

What we offer
 

We offer a variety of flexible working arrangements and development opportunities for you to grow at Carrier. You will receive a competitive salary and additional benefits including the following:

• Company pension scheme

• Company contributed Share Incentive Plan

• Employee Assistance Programme

• You may be eligible for an annual incentive

In addition to compensation you will have the opportunity to

•Work onhigh-impact, global engineering challenges

•Influence how next-generation HVAC systems aredesigned and operated worldwide

•Collaborate withtop experts across academia and industry

•Drive innovation at the intersection ofphysics, optimization, and machine learning

Pay Range  

The annual salary for this position is between 648,000 and 1,295,000 sek 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.       

Other Compensation

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

Equal Treatment and Non-Discrimination  

Carrier is committed to equal treatment and non-discrimination principles.   

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, or disability, or any other applicable  protected class.   

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.  

Application Deadline:

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Use of AI  

Technology-enabled tools may support parts of the recruitment process, with oversight by people. 

Pay Range: