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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691 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Microsoft	Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team	Big Tech	8	L0
Cerebras	Staff Kernel Optimzation Engineer	Semiconductors	8	L3
Amazon	Sr Software Development Engineer , AXU	Big Tech	8	L4
NVIDIA	Senior HPC and AI Networking Performance Research and Analysis Engineer	Semiconductors	8	L1
Cursor	Software Engineer, ML Infrastructure	Coding AI	8	L0
Physical Intelligence	ML Infra Engineer (TPU/Jax/Optimization)	AI Frontier	8	L0
NVIDIA	Engineering Manager - AI for RAN and 6G Wireless Systems	Semiconductors	8	L3
NVIDIA	System Software Engineer - Deep Learning	Semiconductors	8	L3
NVIDIA	Senior Deep Learning Engineer - AI for Wireless Systems	Semiconductors	8	L3
Cohere	Staff Software Engineer, GPU Infrastructure (HPC)	AI Frontier	8	L3
Cohere	Site Reliability Engineer, Inference Infrastructure	AI Frontier	8	L3
Cohere	Staff Software Engineer, Inference Infrastructure	AI Frontier	8	L3
NVIDIA	Senior Software Architect - Deep Learning and HPC Communications	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Deep Learning - MLIR TRT	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Real-Time AI and Rendering - Holoscan SDK	Semiconductors	8	L4
NVIDIA	Senior Deep Learning Performance Architect	Semiconductors	8	L3
NVIDIA	Senior Software Architect, Advanced Development	Semiconductors	8	L3
NVIDIA	Senior Manager, Deep Learning Performance Architecture	Semiconductors	8	L3
Anduril	Senior Machine Learning/MLOps Engineer	Defense	8	L4
HeyGen	Software Engineer, AI Compute Infrastructure	Multimodal	8	L3
Microsoft	Research Intern - AI/ML Numerics & Efficiency	Big Tech	8	L3
NVIDIA	Deep Learning Performance Architect	Semiconductors	8	L3
Microsoft	Member of Technical Staff, LLM Inference - MAI Superintelligence Team	Big Tech	8	L3
Cohere	Member of Technical Staff, Synthetic Data	AI Frontier	8	L0
Cerebras	Performance & Reliability Engineer	Semiconductors	8	L3
Upstart	Staff+ Machine Learning Engineer	Fintech	8	L3
Anduril	Senior Machine Learning Engineer, Sentry Tower	Defense	8	L4
NVIDIA	AI Developer Technology Engineer	Semiconductors	8	L3
Cohere	Audio Inference Engineer, Model Efficiency	AI Frontier	8	L3
Cerebras	Staff Python / PyTorch Developer — Frontend Inference Compiler – Dubai	Semiconductors	8	L3

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