Imisebenzi
    Lund, eSweden
    A Better Routeplanner • Ingxenye ye-Rivian

    Yakha ikusasa lohambo lwe-EV

    Siyi-Rivian and Volkswagen Group Technologies eLund, eSweden, abakhi be-A Better Routeplanner (ABRP), manje esiyingxenye ye Rivian. Sebenza emkhiqizweni abantu abawuthandayo nabathembela kuwo nsuku zonke, ngokwesekwa nezinsiza zomvulindlela omkhulu kwezokuthutha okusimeme.

    Izinga esisebenza ngalo

    200M+
    Izindlela ezihleliwe
    Izigidi
    zabashayeli
    Umhlaba wonke
    Ukufinyelela

    Ukulungiselela okungavamile okusebenza ngempela

    Ezindaweni eziningi, ukha imikhiqizo yabasebenzisi noma ingqalasizinda yamabhizinisi amakhulu. Lapha, wenza kokubili. I-engine yokuqondisa efanayo, izindawo ezihlukene. NgoMsombuluko ulethela izigidi zabashayeli be-EV. NgoLwesibili usebenza kuma-API anika amandla izinhlelo zangaphakathi emotweni ze-Rivian. NgoLwesithathu uthuthukisa ngedatha yokuziphatha yesikhathi sangempela evela kukho kokubili.

    Futhi uletha njalo. Abathuthukisi bangaphusha ukukhishwa okuningi ngosuku. I-ABRP iyiflegishipi: siqala lapho ukuqinisekisa nabasebenzisi bangempela, bese sikhulisela izinguquko ezifakazelwe ku-Rivian nakubalingani be-OEM. Akukho ukulinda amasonto amafasitela okukhipha. Phusha ukuthuthukisa ukuqondisa, kuyaphila phakathi kwemizuzu, futhi ungashayela ubuyele ekhaya usebenzisa umsebenzi wakho.

    I-loop yempendulo iqinile futhi iqotho. Abasebenzisi bazokutshela kahle ukuthi yini engasebenzi. Abalingani bamabhizinisi amakhulu bayakucindezela ngokwethembeka nezimo zonqenqema. Uthola ukuphindaphinda okusheshayo nezindinganiso eziqinile.

    Futhi umgomo ubalulekile. Yonke indlela esiyenza ibe ngcono ngo-10%, sonke isitobhi sokushaja esisilungisayo, kuyinqubekela phambili elinganisekayo ekwenzeni ama-EV asebenze kuwo wonke umuntu. Akusiwo ukusindisa umhlaba ngendlela edla izinkophe, kodwa umthelela wangempela ongawubona kudatha.

    Wakha into abantu abayithanda ngempela

    I-ABRP inesisekelo sabasebenzisi esinentshiseko yangempela. Abantu bahlela uhambo ngayo, bayithembela ekushayeleni kwansuku zonke, beyithembela uma bephakathi nendawo bengaziwa benebhethri elingu-20%. Banendaba kakhulu, futhi bazokwazisa uma into isiza noma yephuka.

    Lokho akuvamile. Iningi lesofthiwe lisetshenziswa ngoba othile kufanele alisebenzise. Lena isetshenziswa ngoba abantu beyifuna, futhi bayinconcoza kwabanye abashayeli be-EV ngaphandle kokucelwa. Uzobona ama-thread e-Reddit exoxa ngezici zakho. Abasebenzisi bathumela ama-imeyili okubonga uma ulungisa isimo sabo sonqenqema.

    Kushintsha indlela ocabanga ngayo ngomsebenzi. Awakhi izici ezingabonakali zabasebenzisi abacatshangelwayo. Uxazulula izinkinga zangempela zabantu bangempela abazosebenzisa lokho okwakhayo ohambweni lwabo olulandelayo.

    Ithimba elincane, izinkinga ze-full-stack

    Ama-backend engineer: ama-algorithm okuqondisa, ukwakhiwa kwe-API, ukusebenza ngezinga. I-frontend neselula: i-UI ye-cross-platform esebenza uma othile eshayela, ukubonisa indlela kwesikhathi sangempela, ukuhlanganiswa kwedatha ebukhoma. Idatha: ukuhlaziya ukuziphatha, amamodeli okusetshenziswa, ukunika amaphuzu okwethembeka. Indima ngayinye inezinkinga ezinzima ngempela ezizoxazululwa.

    Yithimba elincane, ngakho-ke uzobona isithombe esiphelele. Sebenza ekuthuthukiseni ukuqondisa kuyo yonke ibhethri, ukuphakama, isimo sezulu, nemikhawulo yezishaja. Yakha i-UI enciphisa ukwesaba kwabashayeli. Phatha idatha yesikhathi sangempela emhlabeni jikelele. Yenze isebenze ezinhlelweni zezimoto ezishumekiwe. Izinkinga zibanzi kuyo yonke i-stack.

    Futhi ayivalelwe ezindaweni ezihlukene. Ufuna ukwazi ukuthi i-engine yokuqondisa isebenza kanjani? Uzoyibona. Ufuna ukuqonda ukuziphatha kwabasebenzisi? Ngena kudatha. Ithimba elincane lisho izithiyo ezimbalwa phakathi kwakho nokufunda into entsha.

    Imikhiqizo emibili, izindlela ezimbili

    Ubuchwepheshe obuyisisekelo obufanayo, ukugxila kwansuku zonke okuhlukile.

    Umkhiqizo wabasebenzisi we-ABRP

    I-app esobala izigidi eziyaziyo neziyithandayo. I-cross-platform, ehamba ngokushesha, eqhutshwa umphakathi.

    • iOS, Android, Android Automotive, Web (React Native + native)
    • Letha izici, uthole impendulo ngesonto elifanayo evela kubasebenzisi abanentshiseko
    • Ukuphindaphinda okusheshayo, ukulethwa okuqhubekayo
    • Sebenza kuwo wonke amabhrendi e-EV namamakethe

    Ukuhlanganiswa kwe-Rivian

    Umhleli wohambo ofakwe ezimotweni ze-Rivian nama-app eselula. Izinga lezimoto, ohlanganiswe ngokujulile.

    • Native iOS/Android + Android Automotive (ngaphakathi emotweni)
    • Ukuhlanganiswa okuqinile nedatha yemoto nezinhlelo
    • Izindinganiso zokwethembeka nokusebenza kwezimoto
    • Sebenzisana namathimba obunjiniyela abanzi e-Rivian

    Kokubili kusebenzisa isisekelo esifanayo: I-engine yokuqondisa ye-ABRP, amamodeli ezimoto, ama-feed edatha ebukhoma, ingqalasizinda ye-backend. Uzobhekana nama-algorithm okuthuthukisa, idatha yesikhathi sangempela ngezinga, nokuvumelanisa kwe-cross-platform nganoma iyiphi indlela. Umehluko ukuthi izici zakho ziphelela kuphi nokuthi wakhela bani nsuku zonke.

    Lokho ozosebenza kukho

    Siyithimba elincane elimboza indawo ebanzi. Nakhu ukuhlukaniswa.

    I-Backend & Ama-algorithm

    Ukuthuthukisa ukuqondisa kuyo yonke imikhawulo. Amamodeli okusetshenziswa kwezimoto. Izibikezelo zamajika okushaja. Ama-algorithm e-graph ngezinga. Ukulungisa ukusebenza kwezigidi zezindlela. Ama-microservice. I-DevOps.

    I-Frontend & Eselula

    I-React Native ye-iOS/Android. Native Swift/Kotlin. Android Automotive yangaphakathi emotweni. Ukuvumelanisa kwe-cross-platform. I-UI esebenza uma othile eshayela ngempela.

    Idatha & Ukuhlaziya

    Amamodeli okusetshenziswa wezimoto ezingu-1,000+. Ukuhlaziya ukuziphatha kohambo lwangempela. Ukunika amaphuzu okwethembeka kwezishaja. Izilinganiso zekhwalithi nama-pipeline okuqinisekisa. Ukuqonda idatha ngezinga lomhlaba wonke.

    Ingqalasizinda & Ama-API

    Ama-API abhekene nabalingani anika amandla i-Rivian nama-OEM. Ukungenisa idatha yesikhathi sangempela. Ukubonakala nokuqapha. Ukusebenza ngezinga lomhlaba wonke. Ukugcina konke kusebenza ngokuthembekile.

    Izikhundla zabafundi

    Izikhundla zehlobo namaphrojekthi e-thesis ye-master. Amaphrojekthi angempela, umthelela wangempela.

    Sithatha abafundi bobunjiniyela njalo. Uzosebenza ezicini zomkhiqizo zangempela noma ucwaningo olungalethwa, ngedatha yabasebenzisi yangempela nempendulo. Akuyona imisebenzi yokugcwalisa isikhathi.

    Izikhundla zehlobo
    • Ukuthuthukisa i-app (React Native): Yakha izici ezilethelwa izigidi kuyo yonke i-iOS ne-Android.
    • Ukwakha imodeli yemoto: Thuthukisa amamodeli okusetshenziswa nokushaja usebenzisa idatha yokushayela yangempela.
    • Ukuhlaziya idatha: Ngena kudatha yokuziphatha enkulu ukuze uthuthukise izibikezelo futhi uchaze izilinganiso zekhwalithi.
    • Ukwethembeka kwezishaja: Guqula imibiko yabasebenzisi nezimpawu zibe amaphuzu okwethembeka anika ulwazi kokuqondisa.
    Amaphrojekthi e-thesis ye-master
    • I-logistics esebenza ngogesi: Hlola ukuqondisa kwemikhumbi nezimo zokusetshenziswa kwezohwebo ngama-algorithm ethu okuhlela namamodeli ezimoto.
    • Ukubonakala & ukwethembeka: Yakha ama-KPI angcono, izinsiza zokulinganisa, namathuluzi okususa amaphutha ohlelweni olungezinga lomhlaba wonke.
    • Ukuhlela amanethiwekhi okushaja: Yakha amathuluzi okuhlaziya nokuthuthukisa ukwandiswa kwenethiwekhi usebenzisa idatha yethu nama-algorithm.
    Thumela i-CV yakho usitshele ukuthi yini ekuthakazelisayo. Siyaguquguquka.
    Sithumelele i-imeyili