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.

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Edge Computing

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

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

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34 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Deep Learning Performance Architect	Semiconductors	9	L3
Intel	Senior AI Software Architect - Runtime	Semiconductors	9	L3
NVIDIA	Principal High-Performance LLM Training Engineer	Semiconductors	9	L1
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
Tenstorrent	RISC-V AI / HPC & Agentic Software Engineering Lead	Semiconductors	9	L4
NVIDIA	Senior Software Architect, AI Networking	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Software Engineer, Inference	Semiconductors	9	L3
Cerebras	LLM Inference Performance & Evals Engineer	Semiconductors	9	L3
AMD	Principle AI Software Engineer	Semiconductors	8	L3
NVIDIA	Senior Systems Software Engineer, Semiconductor Systems Inspection	Semiconductors	8	L6
NVIDIA	Distinguished Engineer - Wireless Infrastructure	Semiconductors	8	L4
AMD	Senior AI Software Architect - Autonomous Systems	Semiconductors	8	L3
Intel	Senior GenAI Software Solutions Engineer	Semiconductors	8	L4
NVIDIA	Director, System Software Engineering - Metropolis Accelerated and Inferencing Software	Semiconductors	8	L3
NVIDIA	Director, Isaac for Healthcare Engineering	Semiconductors	8	L6
Intel	Senior GenAI Software Architect	Semiconductors	8	L4
NVIDIA	Engineering Manager - AI for RAN and 6G Wireless Systems	Semiconductors	8	L3
NVIDIA	Senior Deep Learning Engineer - AI for Wireless Systems	Semiconductors	8	L3
Intel	Software Enabling and Optimization Engineer	Semiconductors	7	L3
Intel	Senior Gen AI Software Solutions Engineer	Semiconductors	7	L4
AMD	Integration Engineer - Perception and Platform	Semiconductors	7	L3
Intel	Inference Optimization Engineer (local / edge runtime)	Semiconductors	7	L3
AMD	Systems Design Engineer - AI Cluster Software	Semiconductors	7	L3
AMD	Software Solutions Architect	Semiconductors	7	L3
NVIDIA	Senior Software Engineer - Verification AI Infrastructure	Semiconductors	7	L3

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.

Edge Computing

Top employers

Demand trend

Frequently asked questions

Demand trend

Edge Computing

Top employers

Frequently asked questions