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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AI score Recently posted Company A–Z

108 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
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
Amazon	Software Dev Engineer, Machine Learning Compilers	Big Tech	7	L3
Amazon	Research Engineer, Prime Video - Content Understanding	Big Tech	7	L3
Roblox	Senior Product Manager, Compute Platform	Consumer	7	L3
AMD	GPU Kernel Development Engineer	Semiconductors	7	L3
NVIDIA	Senior Systems Software Engineer, Kubernetes Scale - DGX Cloud	Semiconductors	7	L3
Google	TPU RTL Design Engineer, Networking, Inter-Chip Interconnects	Big Tech	7	L3
Google	Power and Performance Architect, TPU	Big Tech	7	L3
AMD	Staff/Principal Engineer - AI/ML & System-Level Validation	Semiconductors	7	L3
Google	Software Engineering Manager, GPU AI Infrastructure	Big Tech	7	L3
Google	Staff Software Engineer, TPU Machine Learning Supercomputer	Big Tech	7	L3
Google	Technical Program Manager III, Google Cloud Applied AI	Big Tech	7	L4
Amazon	Software Development Engineer, ML Systems Integration, Machine Learning Israel (MLIL) — Integration Validation	Big Tech	7	L3
Microsoft	Senior Software Engineer - Performance	Big Tech	7	L3
NVIDIA	Senior Deep Learning Systems Engineer, Datacenters	Semiconductors	7	L3
Harvey	Staff Software Engineer, Backend	AI Frontier	7	L4
Harvey	Staff Software Engineer, Backend	AI Frontier	7	L4
Harvey	Senior Software Engineer, Backend	AI Frontier	7	L4
Harvey	Senior Software Engineer, Backend	AI Frontier	7	L4
Amazon	Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs	Big Tech	7	L3
Microsoft	Principal Silicon Performance Architect	Big Tech	7	L3
Intel	AI Frameworks Engineer	Semiconductors	7	L3
NVIDIA	SoC Product Architect, Telecom AI RAN	Semiconductors	7	L3
NVIDIA	Senior System Software Engineer - Dynamo-Triton Inference Server	Semiconductors	7	L3
Amazon	Sr. Software Development Engineer, Amazon Shopping (Rufus)	Big Tech	7	L4
NVIDIA	Senior Formal Verification Engineer, GPU Kernels	Semiconductors	7	L4
Character AI	Technical Program Manager, AI Infrastructure	AI Frontier	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

GPU/HPC Management

Top employers

Demand trend

Frequently asked questions