{"id":677680,"url":"https://alion.io/job/carrier-principal-optimization-engineer","title":"Principal Optimization Engineer","company":{"id":13755,"name":"Carrier Global Corporation","domain":"carrier.com","url":"https://alion.io/company/carrier","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":70,"ghost_share":0,"stale_share":0.043,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":648000,"max":1295000,"currency":"SEK","period":"year","gross":null,"usd_annual":131309},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T04:48:14Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Join Carrier’s Computational Engineering team within the Systems & Controls Center of Excellence in Lund, Sweden and help shape the future of HVAC innovation.\nWe develop advanced model-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.\nYou’ll collaborate with international product teams, research institutions, and cross-functional experts to bring cutting-edge optimization and control strategies into real-world applications.\nYour key responsibilities will be the following\nDesign and deploy optimization methods and tools for thermo-fluid systems (chillers, heat pumps, hydronic systems)\nTranslate business and engineering needs into mathematical models and decision-making workflows\nDevelop and implement optimization-based control strategies (e.g., MPC, real-time optimization)\nPartner with global product teams to embed advanced tools into product development and operation\nEnsure robust, scalable approaches using non-linear and mixed-integer optimization techniques\nDrive adoption of ML/surrogate models in optimization workflows\nCollaborate across modeling, controls, and platform teams to deliver end-to-end solutions\nMentor engineers, support training initiatives, and contribute to technology roadmap development\nWho we're looking for\nRequired\nMaster’s degree in Engineering, Applied Mathematics, or related field\nExtensive experience in model-based engineering, optimization, or computational methods\nPreferred\nPhD in Mechanical, Control, Applied Math, Engineering Physics, or Chemical Engineering\nConsiderable experience in numerical optimization (NLP, MILP) and solver tools (e.g., IPOPT, KNITRO)\nDeep understanding of optimization theory, numerical methods, and algorithm design\nExperience with thermo-fluid systems modeling (HVAC, vapor compression, energy systems)\nExperience with real-time optimization and control systems\nProficiency in Python (Pyomo preferred) and scalable computing platforms (cloud/HPC)\nProven ability to lead in multidisciplinary, global environments\nWhat we offer\nWe 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:\nCompany pension scheme\nCompany contributed Share Incentive Plan\nEmployee Assistance Programme\nYou may be eligible for an annual incentive\nIn addition to compensation you will have the opportunity to\nWork on high-impact, global engineering challenges\nInfluence how next-generation HVAC systems are designed and operated worldwide\nCollaborate with top experts across academia and industry\nDrive innovation at the intersection of physics, optimization, and machine learning\nPay Range\nThe 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.\nOther Compensation\nThis position is entitled to short-term cash incentives, subject to plan requirements.\nEqual Treatment and Non-Discrimination\nCarrier is committed to equal treatment and non-discrimination principles.\nAll 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 otherapplicable protectedclass.\nIf you require a reasonable accommodation to complete the application process,participatein an interview, or otherwise engage in the hiring process, please contact us at . We will make every effort to meet your needsin accordance withapplicable laws.\nApplication Deadline:\nApplicationswillbeacceptedforatleast3 workingdaysfrom JobPostingDate. JobPostingDate:06 July 2026\nJob Applicant’s Privacy Notice\nPlease click on the link below to review the Job Applicant Privacy Notice.\nUse of AI\nTechnology-enabled tools may support parts of the recruitment process, with oversight by people.\nPay Range:\n648 000,00 kr - 1 296 000,00 kr","description_format":"text","description_chars":4273,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Sweden","iso":"SE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Machinery","HVAC & Refrigeration"],"lifecycle":[{"event":"open","at":"2026-09-10T23:02:38Z"},{"event":"close","at":"2026-09-22T23:38:43Z"},{"event":"reopen","at":"2026-09-23T09:04:35Z"}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.605,"p_room":0.55,"age_days":31,"expected_fill_days":23,"reasons":["conf:0","win:tail","comp:brand"],"computed_at":"2026-09-24T05:22:52Z"},"pay":{"stated_usd_annual":131309,"is_top_pay":false},"html_url":"https://alion.io/job/carrier-principal-optimization-engineer","json_url":"https://alion.io/job/carrier-principal-optimization-engineer.json","meta":{"generated_at":"2026-09-24T05:22:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}