JAX Jobs

JAX is a Python library for high-performance numerical computing and machine learning, providing automatic differentiation, compilation and hardware acceleration. Engineers use it to build and optimise models for GPUs, TPUs and other accelerators.

Browse 81 open JAX jobs from 6 companies including Nvidia, Anthropic, and SpaceXAI. Popular hiring locations include Santa Clara, San Francisco, and Palo Alto.

81 Open JAX Jobs

Featured AI/ML Specialist Solutions Architect at Nebius MIDDLE

📍 Canada
📍 United States

💰 USD 250,000-320,000 per year

✅ Remote

AI @ 3 Ansible Communication @ 3 DevOps Docker GPU @ 3 Git Go Hadoop Helm Hiring @ 3 IaC JAX @ 3 Java Kafka Kubernetes MLOps @ 5 Machine Learning @ 3 NoSQL PyTorch @ 3 Python SQL Slurm Spark TensorFlow Terraform Vector Databases scikit-learn

Senior Software Engineer, CUDA Deep Learning Systems at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 184,000-356,500 per year

✅ On-site

AI @ 4 Agentic AI @ 4 Algorithms CUDA @ 4 Communication @ 4 Deep Learning @ 4 GPU @ 3 GenAI Generative AI @ 4 JAX @ 6 LLM MPI @ 4 Machine Learning @ 4 NCCL @ 4 Performance Optimization @ 4 Profiling @ 4 PyTorch @ 6 Python @ 7 SGLang @ 6 TensorRT @ 6 vLLM @ 6

Software Engineer, CUDA Deep Learning Systems at Nvidia MIDDLE SENIOR

📍 Santa Clara, United States

💰 USD 124,000-195,500 per year

✅ On-site

AI @ 3 Agentic AI @ 3 Algorithms CUDA @ 3 Communication @ 3 Deep Learning @ 3 GPU GenAI Generative AI @ 3 JAX @ 3 LLM MPI @ 3 Machine Learning @ 3 NCCL @ 3 Performance Optimization @ 3 Profiling @ 2 PyTorch @ 3 Python @ 6 SGLang @ 3 TensorRT @ 3 vLLM @ 3

Senior Agentic AI for Data Science Applied Researcher at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 152,000-287,500 per year

✅ On-site

AI @ 4 Agentic AI @ 6 Claude Code @ 4 Codex @ 4 Data Science @ 4 Deep Learning @ 4 Experimentation JAX @ 6 Leadership @ 6 Machine Learning @ 4 PyTorch @ 6 Python @ 6 Reinforcement Learning @ 6 Reporting @ 4 TensorFlow @ 6

Research Scientist, AI for Clinical Translatability at Nvidia SENIOR

📍 United States

💰 USD 168,000-264,500 per year

✅ Remote

AI Agentic Systems GPU JAX @ 6 LLM Machine Learning @ 6 Mathematics @ 4 PyTorch @ 6

Technical Marketing Engineer - AI Platform Software at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 136,000-253,000 per year

✅ Hybrid

AI @ 7 Deep Learning @ 4 GPU @ 4 JAX @ 4 LLM @ 4 Machine Learning @ 4 Marketing NCCL PyTorch @ 4 Python @ 4 SGLang @ 4 Software Development @ 4 TensorRT @ 4 vLLM @ 4

Engineering Manager, AI Compiler Analysis at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 168,000-322,000 per year

✅ On-site

AI @ 4 Agentic AI CUDA Debugging @ 4 Deep Learning @ 4 GPU Hiring @ 7 JAX @ 4 LLM Machine Learning @ 6 Mentoring @ 7 People Management @ 7 PyTorch @ 4 TensorRT @ 4

Senior Performance Engineer - DGX Cloud at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 224,000-431,200 per year

✅ On-site

AI @ 4 CUDA @ 4 Data Analysis Deep Learning @ 4 Distributed Systems @ 6 GPU @ 4 JAX @ 4 Networking @ 4 Observability Performance Analysis @ 4 Profiling @ 4 PyTorch @ 4 Python @ 7

Senior Technical Program Manager, Deep Learning Frameworks at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 168,000-322,000 per year

✅ On-site

AI CUDA @ 6 Communication @ 6 Compliance Deep Learning @ 4 DevOps @ 4 GPU @ 4 Git @ 4 JAX @ 4 Jira @ 6 Machine Learning Mathematics @ 4 NCCL @ 6 Project Management @ 6 PyTorch @ 4 Software Development @ 8 TensorRT @ 6

Senior Software Engineer, CUDA Rust Core Libraries at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 184,000-356,500 per year

✅ On-site

AI API @ 4 Algorithms CUDA @ 4 Communication @ 7 GPU @ 4 HPC JAX @ 7 LLVM @ 4 Performance Optimization @ 7 Profiling @ 4 PyTorch @ 7 Python @ 4 Rust @ 4 Software Development @ 7

ML Infrastructure Engineer at SpaceXAI MIDDLE SENIOR

📍 Palo Alto, United States

💰 USD 180,000-440,000 per year

✅ On-site

Ansible @ 3 CUDA @ 3 Communication @ 6 Data Pipelines Deep Learning @ 3 Distributed Systems @ 3 Experimentation GPU @ 3 JAX @ 2 Linux @ 3 Machine Learning @ 3 Networking @ 3 Prioritization @ 6 Puppet @ 3 PyTorch @ 2 Python @ 6 Rust @ 6 Slurm @ 3

Senior Software Engineer, CUDA Python Core Libraries at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 184,000-356,500 per year

✅ On-site

AI API @ 4 Algorithms @ 4 CUDA @ 4 Communication @ 6 GPU @ 4 HPC JAX @ 7 LLVM @ 4 Performance Optimization @ 7 Profiling @ 4 PyTorch @ 7 Python @ 4 Rust @ 6

Senior Software Engineer, Spatial Intelligence and Foundation Models at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 184,000-356,500 per year

✅ On-site

AI @ 4 Algorithms @ 4 Claude Code @ 6 Codex @ 6 Communication @ 6 Computer Vision @ 7 Data Pipelines Deep Learning @ 7 Experimentation @ 6 GPU @ 4 JAX @ 4 PyTorch @ 4 Python @ 7 Robotics @ 4 TensorFlow @ 4

JAX Salary Ranges

Pay is quoted per market: the same role is worth several times more in one city than in another, so a single figure spanning countries would describe none of them. 80 of these 81 listings publish a salary. Markets with fewer than 8 disclosed salaries are not shown.

Median yearly pay by country, each in the currency named in its own row

Median yearly pay by metro, each in the currency named in its own row

A job open in more than one place is counted by each market it is open in, so the Listings column adds up to more than the number of listings.

Seniority and Work Setup for JAX Roles

9 offer visa sponsorship and 2 offer relocation assistance.

Skills Commonly Paired with JAX

Out of 81 JAX jobs

Top Companies Hiring for JAX

Employers with the most open JAX jobs

Where JAX Jobs Are Located

Where these JAX jobs are based

Generation time: 5.209