What is Embedded Systems and how common is it in AI job postings?

Embedded Systems is a skill in the "Infrastructure & Systems" category. It currently appears in 240 active AI roles across 44 companies in our index.

Which companies are hiring for Embedded Systems?

The top employers with active AI roles mentioning Embedded Systems are: NVIDIA (42), Anduril (42), Amazon (38), Google (16), Skydio (11).

Is demand for Embedded Systems growing?

Over the last 12 weeks, 138 new AI postings mentioned Embedded Systems. Demand is rising — up 44% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Embedded Systems used?

Roles requiring Embedded Systems are concentrated in: agents (38%), serving infrastructure (33%), application (19%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Embedded Systems?

Job postings that mention Embedded Systems most often also require: C++, Computer Architecture, Python, Robotics, Machine Learning.

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Embedded Systems

240 active AI roles across 44 companies mention Embedded Systems. Category: Infrastructure & Systems.

Demand trend

New AI postings mentioning Embedded Systems per week — 138 total over 12 weeks.

Sector

All Defense · 68 Big Tech · 62 Semiconductors · 48 Enterprise · 20 Robotics · 8 AI Frontier · 8 Industrial · 6 Auto · 6 Consumer · 3 Insurance · 2 Healthcare · 2 Fintech · 2 Data AI · 2 Aerospace · 2 Vertical AI · 1

Function

All Engineering · 222 Research · 13 Product · 5

Status

All Active only

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48 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Machine Learning Engineer, Perception - Autonomous Driving	Semiconductors	9	L6
Intel	Senior AI Software Architect - Runtime	Semiconductors	9	L3
NVIDIA	Manager, Deep Learning – Autonomous Vehicles and Robotics	Semiconductors	9	L3
NVIDIA	Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles	Semiconductors	9	L4
NVIDIA	Principal Deep Learning Engineer – Perception, Autonomous Driving	Semiconductors	9	L6
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
NVIDIA	Principal Engineer, Autonomous Vehicles and Physical AI Solutions	Semiconductors	9	L4
NVIDIA	Senior Perception Engineer - Autonomous Vehicles	Semiconductors	8	L6
NVIDIA	Senior Data Center Performance Engineer - Benchmarking and Optimization	Semiconductors	8	L3
NVIDIA	Director, System Software Engineering - Metropolis Accelerated and Inferencing Software	Semiconductors	8	L3
NVIDIA	Director, Isaac for Healthcare Engineering	Semiconductors	8	L6
NVIDIA	Senior Integration Engineer - Autonomous Vehicles	Semiconductors	8	L4
NVIDIA	Senior Integration Engineer - Autonomous Vehicles	Semiconductors	8	L4
NVIDIA	Senior GPU System Architect	Semiconductors	8	L3
NVIDIA	Senior HPC Performance Engineer - AI for Science at Scale	Semiconductors	8	L3
NVIDIA	Director, Engineering – Software Engineering and AI Inferencing Platforms	Semiconductors	8	L3
AMD	Integration Engineer - Perception and Platform	Semiconductors	7	L3
NVIDIA	Senior Software Engineer, AI Speed Infrastructure	Semiconductors	7	L4
NVIDIA	Software R&D Engineer, RTL Optimization Tools	Semiconductors	7	L3
AMD	GPU Kernel Development Engineer	Semiconductors	7	L3
NVIDIA	Senior Software Engineer, Mapping - Autonomous Vehicles	Semiconductors	7	L4
NVIDIA	GPU System Architect	Semiconductors	7	L3
NVIDIA	Senior Compiler Engineer - DL	Semiconductors	7	L3
NVIDIA	Principal Architect, System Software - Orbital Data Center	Semiconductors	7	L3
NVIDIA	Software Engineer, TensorRT Specialized Platforms - New College Grad 2025	Semiconductors	7	L3
NVIDIA	Lead Algorithm Engineer, Map-Perception Fusion	Semiconductors	7	L4
NVIDIA	Senior Manager, Robotics Quality Assurance	Semiconductors	7	L6
NVIDIA	Senior Compiler Engineer - AI	Semiconductors	7	L3
NVIDIA	Software Manager, Infra Tools AI Team	Semiconductors	7	L4

Frequently asked questions

What is Embedded Systems and how common is it in AI job postings?
Embedded Systems is a skill in the "Infrastructure & Systems" category. It currently appears in 240 active AI roles across 44 companies in our index.
Which companies are hiring for Embedded Systems?
The top employers with active AI roles mentioning Embedded Systems are: NVIDIA (42), Anduril (42), Amazon (38), Google (16), Skydio (11).
Is demand for Embedded Systems growing?
Over the last 12 weeks, 138 new AI postings mentioned Embedded Systems. Demand is rising — up 44% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Embedded Systems used?
Roles requiring Embedded Systems are concentrated in: agents (38%), serving infrastructure (33%), application (19%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Embedded Systems?
Job postings that mention Embedded Systems most often also require: C++, Computer Architecture, Python, Robotics, Machine Learning.

Embedded Systems

Top employers

Often paired with

Demand trend

Frequently asked questions

Embedded Systems

Top employers

Often paired with

Demand trend

Frequently asked questions