What is JAX and how common is it in AI job postings?

JAX is a skill in the "Frameworks & Tools" category. It currently appears in 242 active AI roles across 39 companies in our index.

Which companies are hiring for JAX?

The top employers with active AI roles mentioning JAX are: NVIDIA (51), Amazon (38), Google (34), Apple (30), Cohere (15).

Is demand for JAX growing?

Over the last 12 weeks, 138 new AI postings mentioned JAX. Demand is rising — up 139% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is JAX used?

Roles requiring JAX are concentrated in: serving infrastructure (40%), post-training (17%), agents (14%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with JAX?

Job postings that mention JAX most often also require: PyTorch, Python, Machine Learning, TensorFlow, Computer Architecture.

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JAX

242 active AI roles across 39 companies mention JAX. Category: Frameworks & Tools.

Demand trend

New AI postings mentioning JAX per week — 138 total over 12 weeks.

Sector

All Big Tech · 116 Semiconductors · 59 AI Frontier · 42 Robotics · 7 Enterprise · 4 Data AI · 3 Vertical AI · 2 Multimodal · 2 Fintech · 2 Consumer · 2 Retail · 1 Insurance · 1 Defense · 1

Function

All Engineering · 179 Research · 63

Status

All Active only

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242 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Google	Staff Software Engineer, AI/ML, YouTube Ads	Big Tech	8	L6
NVIDIA	Senior AI Infrastructure Software Engineer - DGX Cloud	Semiconductors	8	L3
Amazon	Software Development Engineer - AI/ML, Amazon Neuron, Multimodal Inference	Big Tech	8	L3
Walmart	Principal, Data Scientist - Personalization	Retail	8	L4
Adobe	Principal Engineer AI/ML	Enterprise	8	L6
NVIDIA	Senior Data Center Performance Engineer - Benchmarking and Optimization	Semiconductors	8	L3
NVIDIA	Senior Scientific Machine Learning Engineer – Earth-2	Semiconductors	8	L2
NVIDIA	Senior Deep Learning Framework Communications Engineer	Semiconductors	8	L3
Apple	Machine Learning Engineer, Video Search Team	Big Tech	8	L4
Apple	Sr. Machine Learning Research Engineer, Siri Speech	Big Tech	8	L2
NVIDIA	Senior Software Engineer, AI Networking	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, JAX	Semiconductors	8	L3
NVIDIA	Principal Deep Learning Communication Architect	Semiconductors	8	L3
NVIDIA	Senior Performance Engineer - Deep Learning	Semiconductors	8	L3
NVIDIA	Senior Compiler Engineer, AI Inference Platforms	Semiconductors	8	L3
Amazon	Machine Learning Engineer, Alexa AI	Big Tech	8	L3
Amazon	Software Engineer II- AI/ML, AWS Neuron	Big Tech	8	L3
Apple	AIML - Sr Machine Learning Engineer, Data and ML Innovation	Big Tech	8	L0
NVIDIA	Senior Software Engineer, Robotics - Isaac Lab	Semiconductors	8	L4
NVIDIA	Software Engineering Manager, Robotics	Semiconductors	8	L6
NVIDIA	Senior HPC Performance Engineer - AI for Science at Scale	Semiconductors	8	L3
Apple	AIML - Applied ML Engineer, Responsible AI	Big Tech	8	L6
Apple	Sr. Machine Learning Engineer	Big Tech	8	L6
Physical Intelligence	ML Infra Engineer (TPU/Jax/Optimization)	AI Frontier	8	L0
Cohere	Staff Software Engineer, GPU Infrastructure (HPC)	AI Frontier	8	L3
NVIDIA	Senior Deep Learning Compiler Engineer - PyTorch	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Deep Learning - MLIR TRT	Semiconductors	8	L3
Cohere	Member of Technical Staff, Data Analysis and Evaluation	AI Frontier	8	L0
HeyGen	Software Engineer, AI Compute Infrastructure	Multimodal	8	L3
Microsoft	Member of Technical Staff, LLM Inference - MAI Superintelligence Team	Big Tech	8	L3

Frequently asked questions

What is JAX and how common is it in AI job postings?
JAX is a skill in the "Frameworks & Tools" category. It currently appears in 242 active AI roles across 39 companies in our index.
Which companies are hiring for JAX?
The top employers with active AI roles mentioning JAX are: NVIDIA (51), Amazon (38), Google (34), Apple (30), Cohere (15).
Is demand for JAX growing?
Over the last 12 weeks, 138 new AI postings mentioned JAX. Demand is rising — up 139% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is JAX used?
Roles requiring JAX are concentrated in: serving infrastructure (40%), post-training (17%), agents (14%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with JAX?
Job postings that mention JAX most often also require: PyTorch, Python, Machine Learning, TensorFlow, Computer Architecture.

JAX

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

JAX

Top employers

Often paired with

Frequently asked questions