What is Real-Time Systems and how common is it in AI job postings?

Real-Time Systems is a skill in the "Infrastructure & Systems" category. It currently appears in 671 active AI roles across 132 companies in our index.

Which companies are hiring for Real-Time Systems?

The top employers with active AI roles mentioning Real-Time Systems are: Amazon (113), NVIDIA (42), Anduril (41), Adobe (24), OpenAI (15).

Is demand for Real-Time Systems growing?

Over the last 12 weeks, 417 new AI postings mentioned Real-Time Systems. Demand is rising — up 122% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Real-Time Systems used?

Roles requiring Real-Time Systems are concentrated in: agents (46%), serving infrastructure (25%), application (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Real-Time Systems?

Job postings that mention Real-Time Systems most often also require: Machine Learning, Python, Distributed Systems, Software Engineering, Production ML Systems.

← All skills

Real-Time Systems

671 active AI roles across 132 companies mention Real-Time Systems. Category: Infrastructure & Systems.

Demand trend

New AI postings mentioning Real-Time Systems per week — 417 total over 12 weeks.

Function

All Engineering · 591 Research · 53 Product · 29

Status

All Active only

Sort

AI score Recently posted Company A–Z

FilteredsectorSemiconductors×functionEngineering×Clear all

49 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Machine Learning Engineer, Perception - Autonomous Driving	Semiconductors	9	L6
NVIDIA	Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026	Semiconductors	9	L3
Intel	Senior AI Software Architect - Runtime	Semiconductors	9	L3
NVIDIA	Senior DL Software Engineer, Model Optimization and Edge Deployment - Autonomous Vehicles	Semiconductors	9	L3
NVIDIA	Senior HPC and AI Network Software Architect	Semiconductors	9	L3
NVIDIA	Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles	Semiconductors	9	L4
NVIDIA	Senior Deep Learning Software Engineer, TensorRT Performance	Semiconductors	9	L3
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
NVIDIA	Deep Learning Senior Engineer, End-To-End Autonomous Driving	Semiconductors	9	L2
NVIDIA	Principal Engineer, Autonomous Vehicles and Physical AI Solutions	Semiconductors	9	L4
NVIDIA	Senior AI Algorithms Software Engineer	Semiconductors	9	L6
NVIDIA	Senior GPU Architect, Deep Learning	Semiconductors	9	L3
Cerebras	Staff Inference ML Runtime Engineer	Semiconductors	9	L3
Cerebras	Kernel Engineer	Semiconductors	9	L3
AMD	Senior AI Software Architect - Autonomous Systems	Semiconductors	8	L3
NVIDIA	Senior AI Engineer, Agents and Developer Workflows	Semiconductors	8	L4
NVIDIA	Senior Perception Engineer - Autonomous Vehicles	Semiconductors	8	L6
NVIDIA	Senior Research Engineer, Robotics Systems	Semiconductors	8	L6
NVIDIA	Machine Learning Applications and Compiler Engineer, LPX - New College Grad 2026	Semiconductors	8	L3
NVIDIA	Director, System Software Engineering - Metropolis Accelerated and Inferencing Software	Semiconductors	8	L3
Intel	Principal Engineer: XeSS and Neural Graphics	Semiconductors	8	L6
NVIDIA	Senior Software Engineer, Metropolis Vision AI	Semiconductors	8	L3
NVIDIA	Senior Integration Engineer - Autonomous Vehicles	Semiconductors	8	L4
NVIDIA	Senior Integration Engineer - Autonomous Vehicles	Semiconductors	8	L4
Intel	Senior GenAI Software Architect	Semiconductors	8	L4
NVIDIA	Senior Machine Learning Applications and Compiler Engineer, LPX	Semiconductors	8	L3
NVIDIA	Senior Product Architect, Storage	Semiconductors	8	L4
NVIDIA	Senior Software Engineer – ADAS	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Real-Time AI and Rendering - Holoscan SDK	Semiconductors	8	L4
NVIDIA	Senior Software Engineer, Mapping - Autonomous Vehicles	Semiconductors	7	L4

Frequently asked questions

What is Real-Time Systems and how common is it in AI job postings?
Real-Time Systems is a skill in the "Infrastructure & Systems" category. It currently appears in 671 active AI roles across 132 companies in our index.
Which companies are hiring for Real-Time Systems?
The top employers with active AI roles mentioning Real-Time Systems are: Amazon (113), NVIDIA (42), Anduril (41), Adobe (24), OpenAI (15).
Is demand for Real-Time Systems growing?
Over the last 12 weeks, 417 new AI postings mentioned Real-Time Systems. Demand is rising — up 122% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Real-Time Systems used?
Roles requiring Real-Time Systems are concentrated in: agents (46%), serving infrastructure (25%), application (16%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Real-Time Systems?
Job postings that mention Real-Time Systems most often also require: Machine Learning, Python, Distributed Systems, Software Engineering, Production ML Systems.

Real-Time Systems

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Real-Time Systems

Top employers

Often paired with

Frequently asked questions