Edge Processing / Edge Computing Expert

Remote: 
Full Remote
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Offer summary

Qualifications:

Proven experience in edge computing or edge AI, particularly in real-time data processing environments., Familiarity with embedded systems and on-vehicle computing., Solid understanding of machine learning techniques for feature extraction from imagery or LiDAR., Strong communication skills to effectively engage with enterprise clients..

Key responsibilities:

  • Participate in client-facing meetings to explain and defend proposed edge computing architecture.
  • Translate business needs into technical requirements and design scalable edge processing systems.
  • Provide guidance on AI/ML model deployment at the edge.
  • Collaborate with teams to define integration strategies with mapping infrastructure.

Intetics logo
Intetics Information Technology & Services SME https://intetics.com/
501 - 1000 Employees
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Job description

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Edge Processing / Edge Computing Expert to join our dynamic team.

About the product:

A global location data and mapping platform that provides services such as real-time navigation, geospatial analytics, and fleet management.

Responsibilities:​
-Participate in client-facing meetings to explain and defend proposed edge computing architecture
-Translate business needs into technical requirements and design scalable, robust edge processing systems
-Support proposal development with high-level technical input
-Provide guidance on AI/ML model deployment at the edge (e.g., traffic sign or lane detection)
-Collaborate with business and delivery teams to define integration strategies with HERE’s mapping infrastructure
-Advise on hardware/software selection for in-vehicle processing setups (e.g., NVIDIA Jetson, Qualcomm AI chips)

Requirements:
-Proven experience in projects involving edge computing or edge AI, ideally in real-time data processing environments
-Familiarity with embedded systems, on-vehicle computing, and sensor data fusion
-Solid understanding of machine learning, especially for feature extraction from imagery or LiDAR (YOLO, MobileNet, OpenCV, etc.)
-Experience in automotive, GIS, or mapping technologies is a major plus
-Understanding of cloud-edge integration patterns
-Strong communication skills and the ability to engage with enterprise clients

Preferred Tools/Platforms (optional):

-NVIDIA Jetson, Coral TPU, Edge TPU
-TensorFlow Lite, ONNX, PyTorch Mobile
-ROS (Robot Operating System), OpenCV, GStreamer
-AWS Greengrass, Azure IoT Edge

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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