{"id":2234204,"url":"https://alion.io/job/lhsystems-mathematical-optimization-engineer","title":"Mathematical Optimization Engineer","company":{"id":4382167,"name":"Lufthansa Systems Hungária","domain":"lhsystems.hu","url":"https://alion.io/company/lhsystems-hu","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":47000,"period":"year","method":"role_country_seniority_unknown","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-10T23:26:04Z","employer_posted_date":"2026-10-10","last_verified_at":"2026-10-11T21:29:57Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for a Mathematical Optimization Engineer for discrete optimization to join our team.\nJelentkezem\nAs a Mathematical Optimization Engineerat Lufthansa Systems Hungária, you will be collaborating with software engineers and fellow specialists to enhance our crew optimization solutions.\nIn this role, you will work with different customers and translate their airline crew scheduling requirements into customized rules, and design algorithms to solve their sophisticated mathematical models effectively. Beyond tackling algorithmic challenges, a substantial part of your role will involve the creation and maintenance of robust software systems required to execute and calibrate these algorithms efficiently. You will be responsible for ensuring that our systems adhere to our software engineering standards, and you will gain a comprehensive understanding of crew scheduling processes to identify and implement opportunities for improvement.\nIf you are passionate about building scalable software systems and solving complex problems using discrete optimization, we want to hear from you.\nYour responsibilities will be\nFurther development of existing optimization components of the airline management system Netline/Crew or Netline Scheduling area.\nImplement and experiment on new and efficient optimization approaches.\nRecording customer requirements for the commissioning of existing optimization components. \nDevelopment of customer-specific rules.\nCalibration of existing optimization components in close coordination with the customer, e.g., in benchmarks or implementation projects.\nPreparing and giving specialist presentations at internal and external events, e.g., delivering benchmark results to customers, running workshops with customers.\nDeveloping and sharing technical know-how.\nImplementing new features, writing code that adheres to our software engineering standards.\nYou are looking for us, if you have\nSubject-related studies (with a focus in computer science, mathematics, business mathematics, operations research) and ideally several years of professional experience.\nKnowledge of various optimization methods in the field of discrete optimization, e.g. combinatorial optimization, linear programming, constraint programming.\nSeveral years of practical experience in dealing with various optimization methods, preferably in the field of personnel resource planning or column generation.\nSolid knowledge of the programming language Python, Linux environment and GitHub.\nPassionate about software quality and design.\nHigh level of commitment and initiative, high resilience and pronounced flexibility.\nGood communication skills and assertiveness as well as a strong customer and service orientation.\nAbility to work methodically and analytically in order to solve complex problems in depth.\nAbility and willingness to discuss ideas with the team and community.\nVery good written and spoken English skills.\nInterest in running complex optimization processes in a cloud environment.\nWhat we are proud to provide you with\nHybrid working with even only weekly 2 office days and flexible working hours based on core time.\nFinancial benefits such as; an outstanding amount of cafeteria, referral reward and team or individual reward based on your accomplishments.\nCorporate health insurance package at one of the largest private healthcare providers with nationwide coverage.\nCarefully designed career paths, with the appropriate training courses and projects to accomplish your aims such as language courses, tech talks and trainings for your needs.\nLufthansa Group flight ticket discounts.\nWhat’s more, if you are interested in our additional benefits: check out our benefits page.\nOur community is characterized by mutual respect and a spirit of helpfulness. This high level of professionalism, combined with diverse personalities, will help you go through your daily life in a good mood while making the most of your skills and talents.\nIn addition to an inclusive and helpful atmosphere, trust is also an important value for us. You can rely on us with anything right from your first day, and we also trust you to the utmost extent.\nAre you ready to fly with us? Apply now!\nÁllás adatai\n\nPozíció megnevezés:\n\nMathematical Optimization Engineer \n\nMunkavégzés helye: \nBudapest (weekly 2x office)\nTerület:\nSzoftverfejlesztés\nNapi munkaidő:\n8\nMunkarend:\nIrodai\nNyelvek:\nAngol\n\nJelentkezem\nCsatlakozz hozzánk!\nA Lufthansa Systems pozícióira való jelentkezéshez regisztráció szükséges. Ha nincs épp az elképzeléseidnek, tudásodnak megfelelő lehetőségünk, akkor is érdemes regisztrálnod, hogy később felvehessük veled a kapcsolatot!\nRegisztrálok\nKérdésed van?\nTudj meg többet a jelentkezési folyamatról!\nHogyan jelentkezhetsz?Pályázatodat aktuálisan meghirdetett állásra vagy általánosan is beadhatod.\n Hogyan választunk?Munkatársainkat több fordulóban választjuk ki.\nJuttatásaink Sokféle képzéssel és vonzó juttatási csomagokkal várunk.\nKérdezz minket személyesen, vagy írj üzenetet!\nBalogh RékaRecruiter\n\nMichalecz DóraRecruiter\n\nAngler LillaRecruiter\n\nSánta BernadettRecruiter\n\nFacebook\nGoogle+\nLinkedIn\nTwitter\nXing\n YouTube\nLufthansa Systems Hungária Kft.\n1117 Budapest, \nNeumann János u. 1/E \nInfopark E épület\n6722 Szeged,\nGutenberg u. 25-27. A épület 2.\nTelefon: +36 (1) 882-4900\n\nhttps://www.lhsystems.hu\nKapcsolat\n\nAdatkezelési Tájékoztató\n\nImpresszum\n\nCookie kezelés\n\nnexum / laboratory group","description_format":"text","description_chars":5459,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Cafeteria","Flexible schedule","Health insurance","Hybrid work"],"hiring_locations":[{"name":"Hungary","iso":"HU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-10T23:26:04Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["conf:1","win:early"],"computed_at":"2026-10-11T22:32:27Z"},"pay":null,"html_url":"https://alion.io/job/lhsystems-mathematical-optimization-engineer","json_url":"https://alion.io/job/lhsystems-mathematical-optimization-engineer.json","meta":{"generated_at":"2026-10-11T22:32:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12544,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4382167},"rest":"https://alion.io/mcp/rest/get_company?id=4382167"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flhsystems-mathematical-optimization-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Flhsystems-mathematical-optimization-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Flhsystems-mathematical-optimization-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/lhsystems-mathematical-optimization-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flhsystems-mathematical-optimization-engineer"}]}