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.

← All skills

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

Sort

AI score Recently posted Company A–Z

FilteredsectorBig Tech×

116 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Google	AI Engineer, Advanced Solutions Lab, Google Cloud	Big Tech	7	L6
Amazon	Sr Solutions Architect, Annapurna ML	Big Tech	7	L3
Google	XR Audio Face Tracking ML Software Engineer	Big Tech	7	L3
Amazon	Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs	Big Tech	7	L3
Amazon	ML Compiler Engineer, Annapurna Labs	Big Tech	7	L3
Amazon	Senior Software Engineer - AI/ML, AWS Neuron Inference	Big Tech	7	L3
Google	Tech Lead Manager, Kubernetes AI Infrastructure	Big Tech	7	L3
Amazon	Applied Scientist, Neuron ARG, Annapurna ML	Big Tech	7	L3
Amazon	Machine Learning Engineer, Ad Response Prediction	Big Tech	7	L3
Apple	Sr./Staff ML Infrastructure Engineer, Compute (TPU Scheduling) - Foundation Model	Big Tech	7	L3
Amazon	Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs	Big Tech	7	L3
Amazon	Software Dev Engineer, EC2 Nitro	Big Tech	7	L3
Apple	On-Device ML Infrastructure Engineer (CoreML Runtime), Graphics, Games & ML	Big Tech	7	L3
Google	Staff Software Engineer, TPU Performance	Big Tech	7	L3
Apple	On-Device ML Infrastructure Engineer, ML User Experience, APIs & Integration, Graphics, Games & ML	Big Tech	7	L3
Apple	On-device ML Integration Engineer, Graphics, Games & ML	Big Tech	7	L3
Amazon	Software Dev Engineer, EC2 Nitro	Big Tech	7	L3
Amazon	Senior Software Dev Engineer, EC2 Nitro	Big Tech	7	L3
Amazon	Software Engineer- AI/ML, AWS Neuron Distributed Training - Performance Optimization	Big Tech	7	L3
Amazon	Software Development Manager - Compiler, AWS Neuron, Annapurna Labs	Big Tech	7	L3
Amazon	Machine Learning Engineer, AWS Neuron Inference, Annapurna ML	Big Tech	7	L3
Amazon	Software Development Manager, ML Accelerators, AWS Neuron, Annapurna Labs	Big Tech	7	L3
Netflix	Machine Learning Scientist (L4) - Content & Conversation Modeling	Big Tech	7	L6
Amazon	Machine Learning - Compiler Engineer , AWS Neuron, Annapurna Labs	Big Tech	7	L3
Apple	Senior Machine Learning Platform Engineer - AI, Search & Knowledge	Big Tech	7	L3
Netflix	Software Engineer 4/5– AI for Member Systems	Big Tech	7	L6

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

JAX

Top employers

Often paired with

Demand trend

Frequently asked questions