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
Anthropic	Staff+ Software Engineer, Inference Runtime	AI Frontier	9	L3
Together AI	Systems Research Engineer Intern - GPU Programming (Fall 2026)	Data AI	9	L3
Anthropic	Research Engineer, Code RL (Reinforcement Learning)	AI Frontier	9	L2
Google	Senior Staff Engineer, TPU Co-Design	Big Tech	9	L3
Axon	AI Scientist I	Enterprise	9	L2
Adobe	Director, ML Engineering	Enterprise	9	L3
NVIDIA	Senior LLM Agents Architect	Semiconductors	9	L4
Together AI	Staff Machine Learning Engineer, Voice AI	Data AI	9	L3
NVIDIA	Senior Software Engineer, AI Inference Systems	Semiconductors	9	L3
OpenAI	Software Engineer, Inference - Performance Optimization	AI Frontier	9	L3
NVIDIA	Senior AI Software Engineer, Kernel Libraries	Semiconductors	9	L3
NVIDIA	Senior Software Engineer, AI and DL Kernel Libraries	Semiconductors	9	L3
Perplexity	Member of Technical Staff (AI Infrastructure Engineer)	AI Frontier	9	L3
NVIDIA	Senior GPU Networking Architect	Semiconductors	9	L3
NVIDIA	Agent RL Infra Engineer	Semiconductors	9	L2
Baseten	Post-Training Research Engineer	Data AI	9	L2
Anthropic	Research Engineer, Performance RL	AI Frontier	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
Axon	Senior Machine Learning Scientist	Enterprise	9	L2
Axon	Senior Machine Learning Scientist	Enterprise	9	L2
NVIDIA	Senior Deep Learning Performance Architect	Semiconductors	9	L3
Axon	Senior AI Research Scientist	Enterprise	9	L2
Axon	Senior AI Research Scientist	Enterprise	9	L2
OpenAI	Software Engineer, Inference – AMD GPU Enablement	AI Frontier	9	L3
Baseten	Software Engineer - GPU Kernels	Data AI	9	L3
OpenAI	Software Engineer, Accelerators	AI Frontier	9	L3
Cohere	Senior Member of Technical Staff, Multimodal AI	AI Frontier	9	L2
xAI	Member of Technical Staff - Inference	AI Frontier	9	L3
Rivian	Staff Software Engineer, Perception, Autonomy	Auto	8	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