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.

← All skills

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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AI score Recently posted Company A–Z

691 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Research Scientist, Human‑AI Perception and Interaction Research - PhD New College Grad 2026	Semiconductors	9	L2
NVIDIA	Senior Deep Learning Algorithm Engineer	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Performance Architect	Semiconductors	9	L3
NVIDIA	Senior GPU Architect, Deep Learning	Semiconductors	9	L3
NVIDIA	Senior Research Engineer - Autonomous Vehicles	Semiconductors	9	L2
NVIDIA	Senior Deep Learning Computer Architect	Semiconductors	9	L3
NVIDIA	Senior Research Engineer, Foundation Model Training Infrastructure	Semiconductors	9	L1
NVIDIA	Senior Deep Learning Software Engineer, Inference	Semiconductors	9	L3
Mistral AI	GPU Programming Expert	AI Frontier	9	L3
World Labs	Research Scientist (Generative Modeling)	AI Frontier	9	L2
Microsoft	Research Intern - LLM Performance Optimization	Big Tech	9	L3
NVIDIA	Senior Software Architect, AI Networking	Semiconductors	9	L3
Cerebras	Principal ML Investigator	Semiconductors	9	L1
Microsoft	Research Intern - Diagnostic Imaging AI, Imaging Computing, Reconstruction and Inverse Problem	Big Tech	9	L2
Microsoft	Member of Technical Staff, Pre-Training Infrastructure - MAI Superintelligence Team	Big Tech	9	L1
Together AI	Research Engineer, Frontier Speculative Decoding	Data AI	9	L2
Databricks	Senior GenAI Research Engineer - Optimization and Kernels	Data AI	9	L1
NVIDIA	Senior Software Research Architect, AI Networking	Semiconductors	9	L3
Cohere	Staff Research Engineer, Model Efficiency	AI Frontier	9	L3
Cohere	Member of Technical Staff, Model Efficiency	AI Frontier	9	L3
Anthropic	Research Engineer, Interpretability	AI Frontier	9	L2
Fireworks AI	Member of Technical Staff, Evals & Post-Training Product	Data AI	9	L5
Snorkel AI	Research Scientist	Data AI	9	L0
Amazon	Member of Technical Staff - Reinforcement Learning (Infrastructure), AGI Autonomy	Big Tech	9	L0
OpenAI	Training Performance Engineer	AI Frontier	9	L0
Anthropic	Research Engineer / Research Scientist, Tokens	AI Frontier	9	L1
OpenAI	Software Engineer, Inference – AMD GPU Enablement	AI Frontier	9	L3
Databricks	Staff Software Engineer - GenAI Performance and Kernel	Data AI	9	L3
Databricks	Staff Software Engineer - GenAI inference	Data AI	9	L3
Cerebras	Kernel Engineer	Semiconductors	9	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

Demand trend

GPU Computing

Top employers

Often paired with

Frequently asked questions