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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51 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	High-Performance LLM Training Engineer - New College Grad 2026	Semiconductors	9	L0
NVIDIA	Deep Learning Performance Architect	Semiconductors	9	L3
NVIDIA	Senior Systems Software Engineer, AI Stack and Performance - DGX Station	Semiconductors	9	L3
AMD	Fellow, AI Workload Optimization	Semiconductors	9	L3
AMD	Sr. Fellow Machine Learning Engineer	Semiconductors	9	L1
NVIDIA	AI Inference Performance Engineer - New College Grad 2026	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Performance Architect	Semiconductors	9	L3
NVIDIA	Principal High-Performance LLM Training Engineer	Semiconductors	9	L1
NVIDIA	Senior Deep Learning Software Engineer	Semiconductors	9	L3
NVIDIA	Senior AI Software Engineer, Kernel Libraries	Semiconductors	9	L3
NVIDIA	Senior Software Engineer, AI and DL Kernel Libraries	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Software Engineer, LLM Performance	Semiconductors	9	L3
NVIDIA	Senior High-Performance LLM Training Engineer	Semiconductors	9	L0
NVIDIA	Senior Manager, Software Engineering - JAX	Semiconductors	9	L3
NVIDIA	Senior HPC and AI Network Software Architect	Semiconductors	9	L3
NVIDIA	AI Inference Performance Engineer	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Software Engineer, TensorRT Performance	Semiconductors	9	L3
NVIDIA	Senior Deep Learning Compiler Engineer - XLA	Semiconductors	9	L3
NVIDIA	Senior DGX Cloud AI Infrastructure Software Engineer	Semiconductors	9	L3
Cerebras	Senior ML Systems Engineer	Semiconductors	9	L2
NVIDIA	Senior Deep Learning Performance Architect	Semiconductors	9	L3
NVIDIA	Senior Research Engineer, Foundation Model Training Infrastructure	Semiconductors	9	L1
NVIDIA	Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications	Semiconductors	8	L6
AMD	Senior AI Software Architect - Autonomous Systems	Semiconductors	8	L3
NVIDIA	Senior DGX Cloud AI Infrastructure Software Engineer	Semiconductors	8	L3
NVIDIA	Senior AI Infrastructure Software Engineer - DGX Cloud	Semiconductors	8	L3
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
NVIDIA	Senior Software Engineer, AI Networking	Semiconductors	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

JAX

Top employers

Often paired with

Demand trend

Frequently asked questions