What is Edge Computing and how common is it in AI job postings?

Edge Computing is a skill in the "Infrastructure & Systems" category. It currently appears in 241 active AI roles across 72 companies in our index.

Which companies are hiring for Edge Computing?

The top employers with active AI roles mentioning Edge Computing are: Amazon (33), NVIDIA (17), Google (12), Axon (11), Intel (9).

Is demand for Edge Computing growing?

Over the last 13 weeks, 170 new AI postings mentioned Edge Computing. Demand is rising — up 170% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Edge Computing used?

Roles requiring Edge Computing are concentrated in: serving infrastructure (40%), agents (32%), application (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

← All skills

Edge Computing

241 active AI roles across 72 companies mention Edge Computing. Category: Infrastructure & Systems.

Top employers

Amazon33Big Tech NVIDIA17Semiconductors Google12Big Tech Axon11Enterprise Intel9Semiconductors Adobe9Enterprise ByteDance8Big Tech Samsara7Enterprise Apple6Big Tech Anduril6Defense Verizon5Telecom Shield AI5Defense Palantir5Enterprise Honeywell

Demand trend

New AI postings mentioning Edge Computing per week — 170 total over 13 weeks.

Function

All Engineering · 227 Research · 20 Product · 16

Status

All Active only

Sort

AI score Recently posted Company A–Z

263 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Anthropic	Staff Research Engineer, Discovery Team	AI Frontier	10	L1
xAI	Member of Technical Staff	AI Frontier	9	L2
Apple	Engineering Manager, Maps Search Intelligence	Big Tech	9	L4
Tenstorrent	Model Research, Optimization, and Training	Semiconductors	9	L2
Google	Research Scientist, Robotics, DeepMind	Big Tech	9	L4
Skydio	Staff Product Manager, Vehicle AI	Defense	9	L4
Amazon	Principal Applied Scientist, ML Codesign	Big Tech	9	L3
NVIDIA	Deep Learning Performance Architect	Semiconductors	9	L3
Google	Senior Research Engineer, On-Device Inference, Robotics, DeepMind	Big Tech	9	L3
Meta	Postdoctoral Researcher, AI and Systems Co-design Team	Big Tech	9	L3
Amazon	Applied Science Manager, Alexa Edge AI	Big Tech	9	L3
Amazon	Applied Scientist, Alexa Edge AI	Big Tech	9	L2
Adobe	Director, ML Engineering	Enterprise	9	L3
Intel	Neuromorphic Applications Researcher- Temporary Position	Semiconductors	9	L6
OpenAI	Security Researcher, Agentic AI Threats	AI Frontier	9	L4
Samsara	AI / Computer Vision (IC)	Enterprise	9	L6
Snorkel AI	AI Advocate, Open-Source & Research	Data AI	9	L2
Adobe	Machine Learning Engineer 4	Enterprise	9	L3
Intel	Senior AI Software Architect - Runtime	Semiconductors	9	L3
NVIDIA	Principal High-Performance LLM Training Engineer	Semiconductors	9	L1
Intel	AI Algorithm Research Intern – Neuromorphic Computing	Semiconductors	9	L0
Uber	Director, Engineering - AV Labs	Consumer	9	L0
Disney	Sr Staff R&D Engineer	Media	9	L2
NVIDIA	Principal Engineer - AI Agents and Systems	Semiconductors	9	L4
NVIDIA	Senior Deep Learning Software Engineer, TensorRT Performance	Semiconductors	9	L3
NVIDIA	Principal Deep Learning Engineer – Perception, Autonomous Driving	Semiconductors	9	L6
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
NVIDIA	Manager, Large Language Model Inference	Semiconductors	9	L3
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
Amazon	Senior Applied Scientist, New Initiatives	Big Tech	9	L4

Frequently asked questions

What is Edge Computing and how common is it in AI job postings?
Edge Computing is a skill in the "Infrastructure & Systems" category. It currently appears in 241 active AI roles across 72 companies in our index.
Which companies are hiring for Edge Computing?
The top employers with active AI roles mentioning Edge Computing are: Amazon (33), NVIDIA (17), Google (12), Axon (11), Intel (9).
Is demand for Edge Computing growing?
Over the last 13 weeks, 170 new AI postings mentioned Edge Computing. Demand is rising — up 170% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Edge Computing used?
Roles requiring Edge Computing are concentrated in: serving infrastructure (40%), agents (32%), application (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.