LogoFresh Jobs Ahead
Mecka
Mecka
11 – 50 Xodimlar
KorxonaSaaSSun’iy intellekt

Mecka Physical AI uchun infratuzilma yaratadi va robototexnika hamda jismoniy muhitda ishlaydigan sunʼiy intellekt jamoalariga real hayotdagi inson faoliyatini o‘rganadigan, baholanadigan va laboratoriyadan tashqarida ishonchli ishlaydigan tizimlarga aylantirishda yordam beradi. Uning Egoverse platformasi katta hajmdagi egosentrik maʼlumotlar to‘plamlarini ko‘rish, chuqurlik, taktil sezish, harakat va joylashuv haqidagi telemetriya bilan birlashtiradi.

Mecka dasturchilar uchun vositalar, API’lar va korporativ xizmatlar orqali muayyan vazifalarga mo‘ljallangan robot tizimlarini baholash va joriy etishni qo‘llab-quvvatlaydi. Kompaniya robotlarning o‘zini ishlab chiqarmasdan, robototexnika uchun maʼlumotlar va operatsion qatlamni taqdim etadi hamda apparat OEM ishlab chiqaruvchilari, model yaratuvchilari va tijoriy hamkorlar bilan ishlaydi.

LinkedIn
Kompaniyadagi ish o‘rinlari

Hardware Engineer, Edge Machine Learning

Deploy computer vision models on embedded devices and build C++ inference pipelines for Mecka’s robotics and embodied AI data infrastructure.

CAKanada
170 000 $ – 190 000 $ / yil
GibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaApparat ta'minoti muhandisi
C++LinuxPythonPyTorch

Tavsif

  • Train and assess computer vision models for embedded deployment
  • Develop efficient C++ inference pipelines and integrate them with embedded Linux software
  • Tune models and runtime performance for latency, memory use, power consumption, and sustained operation
  • Measure performance using representative data and hardware
  • Trace errors across preprocessing, inference, and integration

Talablar

  • At least five years of machine learning or computer vision experience, including deploying models on embedded or resource-constrained hardware
  • Strong Python and C++ skills, including debugging and performance profiling
  • Experience training and evaluating computer vision models with a framework such as PyTorch
  • Experience developing software for embedded Linux
  • Understanding of quantization, model conversion, and inference optimization on CPUs, GPUs, or NPUs
  • Ability to assess accuracy, false positives, and missed detections across varying lighting, motion, and operating conditions
  • Experience with accelerator runtimes, custom operators, or camera and video pipelines
  • Experience curating datasets

Imtiyozlar

  • Equity
  • Health and wellness benefits
  • Additional company programs
  • Hybrid work arrangement

O‘xshash ish o‘rinlari