Назад
Company hidden
4 дня назад

Edge Computing Software Engineer, Earth Observation

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Edge Computing Software Engineer, Earth Observation (Python/GPU/Embedded Linux): Building and maintaining satellite data-processing pipelines that run on Nvidia Jetson computers in orbit, with an accent on image processing, GPU acceleration, and reliable data quality. Focus on profiling and optimizing Python code for constrained ARM hardware, adapting ground algorithms for space, and maintaining consistent data and metadata standards.

Location: Hybrid role based in Harwell, UK; candidates must have the legal right to work in the UK

Company

hirify.global develops end-to-end satellite missions and actionable space-based data and connectivity for Earth observation, IoT connectivity, and secure communications.

What you will do

  • Build and maintain data-processing pipelines running on Nvidia Jetson computers aboard satellites.
  • Adapt ground-based image-processing algorithms for reliable in-orbit execution with equivalent results.
  • Accelerate processing with GPUs and profile, debug, and optimize code on ARM and GPU hardware.
  • Build quality checks and maintain data and metadata standards for consistent onboard and ground outputs.
  • Develop, test, and deploy workflows in embedded Linux while applying version control and testing practices.
  • Collaborate with Data, Flight Software, Systems, Operations, and payload partners to balance mission needs with hardware constraints.

Requirements

  • Strong Python skills for data processing and maintainable, testable software.
  • Hands-on experience with embedded Linux and ARM-based hardware.
  • Experience with GPU computing and performance optimization, including CUDA on Nvidia platforms.
  • Experience profiling, debugging, and optimizing software on constrained hardware.
  • Experience converting scientific or analytical code into efficient production software and designing data pipelines with data formats and metadata standards.
  • Familiarity with geospatial or image-data libraries such as GDAL, rasterio, NumPy, or Xarray, plus testing, version control, code review, and clear technical communication.

Culture & Benefits

  • Work on space technology and satellite data products used by customers globally.
  • Mission-driven environment focused on solving real-world challenges.
  • Diverse, ambitious, supportive, and inclusive workplace.
  • Equal-opportunity employment with a commitment to respect, dignity, belonging, and reducing bias.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →