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

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. 58 of these 65 listings publish a salary. A further 1 internship is left out of every figure below — internships are a different market. 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

Seniority and Work Setup for JAX Roles

A role can be open to more than one level, so the shares add up to more than 100%.

9 offer visa sponsorship and 2 offer relocation assistance.

Skills Commonly Paired with JAX

Top Companies Hiring for JAX

Employers with the most open JAX jobs

Where JAX Jobs Are Located

Where these JAX jobs are based

65 Open JAX Jobs

Principal Data Scientist, User Ecosystem at Reddit SENIOR

📍 United States

💰 USD 313,000-365,100 per year

✅ Remote

AI Communication @ 6 Data Science @ 4 Experimentation @ 4 JAX @ 4 Machine Learning @ 7 Mentoring @ 6 PyTorch @ 4 Statistics @ 4

Cloud Services Software Engineer at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 152,000-287,500 per year

✅ On-site

AI @ 4 API AWS @ 4 Azure @ 4 Cloud Computing @ 4 Deep Learning @ 4 Distributed Systems @ 6 Docker @ 4 GCP @ 4 GPU Go @ 6 HPC @ 4 JAX @ 4 Kubernetes @ 4 Machine Learning Microservices PyTorch @ 4 Python @ 6 Slurm @ 4 TensorFlow @ 4

High-Performance LLM Training Engineer - New College Grad 2027 at Nvidia JUNIOR

📍 Santa Clara, United States

💰 USD 124,000-241,500 per year

✅ On-site

AI @ 3 CUDA @ 3 Deep Learning @ 6 GPU @ 2 JAX LLM Performance Analysis PyTorch Python @ 3 Robotics

Senior Software Engineer, GPU Code Generation for Machine Learning Inference at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 152,000-287,500 per year

✅ Hybrid

AI @ 7 CUDA @ 4 Communication @ 7 Debugging @ 6 Deep Learning GPU @ 7 GenAI Generative AI @ 7 JAX @ 4 LLM @ 4 Parallel Programming @ 4 Performance Analysis @ 3 PyTorch @ 4 Python SGLang @ 4 Software Development @ 7 TensorRT @ 4 vLLM @ 4

Applied Research Intern, Integrated Sensing and Communications (ISAC) - NVIDIA Aerial - Summer 2027 at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 20-71 per hour

✅ On-site

AI @ 6 Algorithms @ 3 CUDA @ 3 Communication @ 6 GPU @ 3 JAX @ 3 Machine Learning @ 3 PyTorch @ 3 Python @ 3 TensorFlow @ 3

GenAI Algorithms Intern – Model Optimization for Inference at Nvidia INTERN

📍 Warsaw, Poland

💰 PLN 117,800-204,100 per year

✅ On-site

AI @ 3 API Algorithms @ 3 CUDA Communication @ 3 Deep Learning @ 6 GPU @ 3 GenAI Generative AI @ 3 JAX @ 3 LLM Machine Learning @ 5 Mathematics @ 3 Profiling PyTorch @ 5 Python @ 5 SGLang @ 3 TensorRT vLLM @ 3

Differentiable Simulation Research Intern - Summer 2027 at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 38-94 per hour

✅ On-site

AI Algorithms @ 6 CUDA @ 3 GPU @ 2 JAX @ 3 Machine Learning Mathematics @ 3 Performance Analysis @ 3 Profiling @ 3 PyTorch @ 3 Python @ 2

Senior Deep Learning Software Engineer, Inference and Model Optimization at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 184,000-356,500 per year

✅ On-site

AI @ 4 Algorithms @ 7 CUDA @ 4 Communication @ 6 Debugging @ 6 Deep Learning @ 7 GPU @ 4 GenAI Generative AI JAX @ 6 LLM Machine Learning @ 7 Mathematics @ 4 Performance Analysis @ 6 PyTorch @ 7 Python @ 7 TensorRT @ 3

Research Engineer / Research Scientist, RL Frontiers at Anthropic MIDDLE

📍 San Francisco, United States
📍 New York City, United States
📍 Seattle, United States

💰 USD 500,000-850,000 per year

✅ Hybrid

✅ Visa Sponsorship

Algorithms @ 3 Communication @ 3 Debugging @ 3 GPU @ 2 JAX @ 6 Machine Learning @ 3 PyTorch @ 6 Python @ 6 Reinforcement Learning @ 3 Rust @ 3

PhD Research Intern, Quantum Simulation and AI - 2027 at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 38-94 per hour

✅ On-site

AI Algorithms CUDA @ 3 Communication @ 6 GPU JAX @ 3 Machine Learning @ 3 Mathematics @ 6 PyTorch @ 3 Python @ 3 TensorFlow @ 3

Research Intern, Robotics – Summer 2027 at Nvidia INTERN

📍 Seattle, United States

💸 USD 38-94 per hour

✅ On-site

AI @ 3 Algorithms CUDA @ 2 Communication @ 8 Debugging @ 3 Deep Learning @ 5 JAX @ 5 Machine Learning @ 3 PyTorch @ 5 Python @ 2 Reinforcement Learning Robotics @ 3 Security

PhD Research Intern, Generalist Embodied Agents Research - 2027 at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 38-94 per hour

✅ On-site

AI @ 5 Algorithms CUDA @ 5 JAX @ 3 LLM Machine Learning @ 3 PyTorch @ 3 Python @ 5 Reinforcement Learning @ 3 Robotics @ 3 TensorFlow @ 3

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