LogoFresh Jobs Ahead
GE Vernova
GE Vernova
Ishlab chiqarishKonsaltingLogistika
GE Vernova global energetika sektori uchun texnologiyalarni ishlab chiqadi va taqdim etadi. Kompaniya energiya tizimlariga talabni qondirish hamda chiqindilarni kamaytirishga yordam beradi. Uning portfeli gaz, gidroenergetika, atom va shamol energetikasi yechimlarini qamrab oladi, shuningdek, yirik muhandislik, ishlab chiqarish va energetika sohasidagi tajribani birlashtiradi. Ish izlovchilar yanada ishonchli, hamyonbop va uglerod chiqindilari kamroq bo‘lgan elektr energiyasini ta’minlashga xizmat qiluvchi infratuzilma va texnologiyalar ustida ishlash imkoniyatiga ega bo‘lishlari mumkin.
LinkedIn
Kompaniyadagi ish o‘rinlari

Wind Turbine Controls Engineer

Develop and validate wind turbine control software, hardware, and systems at GE Vernova. Support renewable energy products through testing, technical documentation, and resolution of field issues.

DEGermaniyaOfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMuhandis

Tavsif

  • Develop control systems and software for wind turbines.
  • Conduct Failure Mode and Effects Analyses and define requirements for turbine software features and components.
  • Write test cases and validate control software.
  • Design wind turbine control hardware, including temperature, proximity, and vibration sensors, I/O, and communications equipment.
  • Prepare engineering documents such as bills of material, drawings, specifications, and manufacturing and field instructions.
  • Travel to sites occasionally to support product testing or address customer issues.
  • Manage wind turbine controls engineering across the product lifecycle, from new technology development and design through implementation, prototype and field testing, and resolution of field issues.

Talablar

  • Bachelor’s degree in electrical, mechanical, or computer engineering from an accredited university.
  • Self-motivation, initiative, energy, a positive attitude, and flexibility in changing environments.
  • A structured approach to problem-solving and the ability to learn quickly.
  • Strong communication skills, including the ability to explain technical problems clearly and simply.
  • Strong interpersonal skills and the ability to contribute to project teams in an international environment.
  • A solid grasp of programming fundamentals.
  • Experience with control systems and algorithm design, embedded software, PLC platforms and communication protocols, sensors, or signal processing, gained through coursework, internships, or other experience.
  • Experience with model-based design using MathWorks Simulink or a comparable tool.
  • Wind turbine technology experience is an advantage but is not required.
  • Experience in a related area such as power systems, multibody dynamics, data science, or systems engineering, or in software practices such as verification and validation, version control, or DevOps.
  • Interest in renewable energy or sustainability.

Imtiyozlar

  • Relocation assistance is provided.

O‘xshash ish o‘rinlari

Ambush

Senior Machine Learning and AI Engineer

Ambush
51 – 200 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
BRBraziliyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

Build production-grade generative AI and agent workflows for Ambush’s financial services clients. Develop Python and FastAPI services, SQL data workflows, retrieval-augmented generation, and cloud-based AI systems.

Ochish
GFN

Senior Software Engineer, Machine Learning

GFN
201 – 500 Xodimlar
Elektron tijoratFintexSaaS
DEGermaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Ochish