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

GPU Computing is a skill in the "Infrastructure & Systems" category. It currently appears in 691 active AI roles across 83 companies in our index.

Which companies are hiring for GPU Computing?

The top employers with active AI roles mentioning GPU Computing are: NVIDIA (234), Amazon (44), ByteDance (29), Microsoft (25), Google (25).

Is demand for GPU Computing growing?

Over the last 12 weeks, 407 new AI postings mentioned GPU Computing. 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 GPU Computing used?

Roles requiring GPU Computing are concentrated in: serving infrastructure (70%), agents (10%), post-training (7%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with GPU Computing?

Job postings that mention GPU Computing most often also require: Machine Learning, Computer Architecture, Python, PyTorch, Production ML Systems.

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GPU Computing

691 active AI roles across 83 companies mention GPU Computing. Category: Infrastructure & Systems.

Demand trend

New AI postings mentioning GPU Computing per week — 407 total over 12 weeks.

Function

All Engineering · 617 Research · 67 Product · 7

Status

All Active only

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617 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior HPC and AI Network Software Architect	Semiconductors	9	L3
NVIDIA	AI Inference Performance Engineer	Semiconductors	9	L3
NVIDIA	Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles	Semiconductors	9	L4
NVIDIA	Senior DL Algorithms Engineer - Inference Performance	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Software Engineer, TensorRT Performance	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Performance Architect - LPU	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Compiler Engineer - XLA	Semiconductors	9	L3
NVIDIA	Lead Principal Engineer, Enterprise Agentic AI Platform	Semiconductors	9	L4
NVIDIA	Senior Deep Learning Engineer	Semiconductors	9	L3
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
NVIDIA	Senior Deep Learning Engineer - Model Evaluation & AI Systems	Semiconductors	9	L5
Adobe	Senior Staff Applied Scientist - AI/ML	Enterprise	9	L2
NVIDIA	Principal Engineer, Autonomous Vehicles and Physical AI Solutions	Semiconductors	9	L4
Together AI	Senior Machine Learning Engineer, Voice AI	Data AI	9	L3
NVIDIA	Senior GPU Networking Architect	Semiconductors	9	L3
Baseten	Post-Training Research Engineer	Data AI	9	L2
Microsoft	Member of Technical Staff, Capacity & Efficiency Infrastructure - MAI Superintelligence Team	Big Tech	9	L3
OpenAI	TL, Research Inference	AI Frontier	9	L3
NVIDIA	Director of Engineering, End to End Autonomous Driving	Semiconductors	9	L6
OpenAI	Inference Technical Lead, On-Device Transformers	AI Frontier	9	L3
NVIDIA	Director, Perception - Autonomous Vehicles	Semiconductors	9	L6
Cerebras	Applied Machine Learning Research Scientist	Semiconductors	9	L2
JPMorgan Chase	Vice President — Principal Applied AI Data Scientist	Banking	9	L4
ByteDance	Research Engineer – Multimodal Training Infrastructure (Seed Infra)	Big Tech	9	L0
Cerebras	Kernel Engineer	Semiconductors	9	L3
Microsoft	Member of Technical Staff, Software Co-Design AI HPC Systems - MAI Superintelligence Team	Big Tech	9	L3
NVIDIA	Senior Research Engineer Neural Reconstruction	Semiconductors	9	L2
NVIDIA	Senior High-Performance AI Training Engineer	Semiconductors	9	L0

Frequently asked questions

What is GPU Computing and how common is it in AI job postings?
GPU Computing is a skill in the "Infrastructure & Systems" category. It currently appears in 691 active AI roles across 83 companies in our index.
Which companies are hiring for GPU Computing?
The top employers with active AI roles mentioning GPU Computing are: NVIDIA (234), Amazon (44), ByteDance (29), Microsoft (25), Google (25).
Is demand for GPU Computing growing?
Over the last 12 weeks, 407 new AI postings mentioned GPU Computing. 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 GPU Computing used?
Roles requiring GPU Computing are concentrated in: serving infrastructure (70%), agents (10%), post-training (7%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with GPU Computing?
Job postings that mention GPU Computing most often also require: Machine Learning, Computer Architecture, Python, PyTorch, Production ML Systems.

GPU Computing

Top employers

Often paired with

Demand trend

Frequently asked questions

GPU Computing

Top employers

Often paired with

Demand trend

Frequently asked questions