What is GPU/HPC Management and how common is it in AI job postings?

GPU/HPC Management is a skill in the "Infrastructure & Systems" category. It currently appears in 100 active AI roles across 26 companies in our index.

Which companies are hiring for GPU/HPC Management?

The top employers with active AI roles mentioning GPU/HPC Management are: NVIDIA (16), Google (12), Amazon (7), Microsoft (6), Anthropic (6).

Is demand for GPU/HPC Management growing?

Over the last 12 weeks, 67 new AI postings mentioned GPU/HPC Management. Demand has been relatively stable over this period.

At which stage of AI development is GPU/HPC Management used?

Roles requiring GPU/HPC Management are concentrated in: serving infrastructure (78%), post-training (11%), agents (8%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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GPU/HPC Management

100 active AI roles across 26 companies mention GPU/HPC Management. Category: Infrastructure & Systems.

Demand trend

New AI postings mentioning GPU/HPC Management per week — 67 total over 12 weeks.

Sector

All Big Tech · 30 Semiconductors · 26 AI Frontier · 23 Enterprise · 12 Data AI · 6 Defense · 4 Banking · 4 Telecom · 1 Consumer · 1 Auto · 1

Function

All Engineering · 96 Research · 10 Product · 2

Status

All Active only

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100 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Google	Silicon RTL Design Engineer, PhD, Google Cloud	Big Tech	8	L3
Amazon	Senior Software Development Engineer, AWS Mantle	Big Tech	8	L3
Google	Senior TPU RTL Design Engineer, Networking, Inter-Chip Interconnects	Big Tech	8	L3
AMD	Senior Staff AI Software System Design Engineer	Semiconductors	8	L3
Microsoft	Member of Technical Staff, Microsoft Robotics (Robotics Simulation)	Big Tech	8	L0
NVIDIA	Manager, Deep Learning Algorithms	Semiconductors	8	L3
Google	Staff Software Engineer, AI/ML, Google Public Sector	Big Tech	8	L3
Skydio	Autonomy Engineer - Deep Learning Model Acceleration	Defense	8	L3
Skydio	Autonomy Engineer - Deep Learning Infrastructure	Defense	8	L3
JPMorgan Chase	Asset Management - AI Systems Engineer – Associate/VP	Banking	8	L3
Adobe	Sr Machine Learning Engineer, Adobe Firefly Services	Enterprise	8	L3
Adobe	Machine Learning Engineer 5	Enterprise	8	L3
Microsoft	Principal Software Engineer - Performance	Big Tech	8	L3
Adobe	Machine Learning Engineer, Firefly Services	Enterprise	8	L3
OpenAI	Performance Modeling Lead	AI Frontier	8	L3
NVIDIA	Principal Deep Learning Communication Architect	Semiconductors	8	L3
Perplexity	Member of Technical Staff (AI Infrastructure Engineer)	AI Frontier	8	L3
Netflix	Software Engineer 5 – Model Runtime, AI Platform	Big Tech	8	L2
NVIDIA	Senior Performance Engineer - Deep Learning	Semiconductors	8	L3
Adobe	Machine Learning Engineer, Adobe Firefly Services	Enterprise	8	L3
Adobe	Principal Service Engineer, Adobe Firefly	Enterprise	8	L3
JPMorgan Chase	Senior Associate -Applied AI Data Scientist	Banking	8	L4
Cohere	Site Reliability Engineer, Inference Infrastructure	AI Frontier	8	L3
Cohere	Staff Software Engineer, Inference Infrastructure	AI Frontier	8	L3
Skydio	Autonomy Engineer - Deep Learning Infrastructure	Defense	8	L3
Skydio	Autonomy Engineer - Deep Learning Model Acceleration	Defense	8	L3
AT&T	Lead Data Analysis	Telecom	7	L4
Google	Staff SWE, Compiler Architect, System Performance Modeling	Big Tech	7	L3
Oracle	GPU/CPU Systems Engineer	Enterprise	7	L3
Google	RTL Design Engineer, Machine Learning Accelerators	Big Tech	7	L3

Frequently asked questions

What is GPU/HPC Management and how common is it in AI job postings?
GPU/HPC Management is a skill in the "Infrastructure & Systems" category. It currently appears in 100 active AI roles across 26 companies in our index.
Which companies are hiring for GPU/HPC Management?
The top employers with active AI roles mentioning GPU/HPC Management are: NVIDIA (16), Google (12), Amazon (7), Microsoft (6), Anthropic (6).
Is demand for GPU/HPC Management growing?
Over the last 12 weeks, 67 new AI postings mentioned GPU/HPC Management. Demand has been relatively stable over this period.
At which stage of AI development is GPU/HPC Management used?
Roles requiring GPU/HPC Management are concentrated in: serving infrastructure (78%), post-training (11%), agents (8%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

GPU/HPC Management

Top employers

Demand trend

Frequently asked questions

Demand trend

GPU/HPC Management

Top employers

Frequently asked questions