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5 часов назад

Edge Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Edge Software Engineer (AI): Building edge applications, communication layers, and production machine-learning infrastructure for computer-vision security systems with an accent on C++, Linux, GPU-based processing, and constrained-device performance. Focus on deploying and optimizing ML models, building observability and telemetry, and solving reliability challenges across a fleet of edge computers.

Location: Sunnyvale, United States; on-site

Company

hirify.global develops a cloud-native video security platform that combines computer vision, multimodal AI, real-time alerts, clip sharing, and multi-site visibility.

What you will do

  • Build edge applications that process vision data and communication layers on compute-constrained devices.
  • Deploy machine-learning models to production and optimize the platform runtime for performance.
  • Develop and maintain primarily C++ code, including pipeline components running on GPUs.
  • Build observability and telemetry for deployed edge systems.

Requirements

  • Bachelor’s or master’s degree in Computer Science.
  • 3–8 years of experience with data structures, algorithms, and object-oriented programming.
  • Strong C++ programming skills and a strong understanding of Linux.
  • Knowledge of another development language, such as Java, Python, or Shell scripting.
  • Ability to work in an on-site environment in Sunnyvale.
  • Exceptional written and verbal English communication skills.

Nice to have

  • Experience with edge or IoT computing and deployed edge-computer fleets.
  • Infrastructure management experience with Salt.
  • Monitoring experience with Grafana.
  • Video processing and streaming experience with GStreamer.
  • Experience interfacing with machine-learning models using PyTorch.

Culture & Benefits

  • Fast-moving environment focused on clarity, craftsmanship, and impact.
  • Opportunity to work on mission-critical AI for real-world security and operations.
  • Direct contribution to computer-vision and multimodal-LLM products.
  • On-site collaboration within the engineering department.

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