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 71 open JAX jobs from 5 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. 67 of these 71 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

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%.

10 offer visa sponsorship and 3 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

71 Open JAX Jobs

Solutions Architecture Intern - Summer 2027 at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 20-71 per hour

✅ On-site

AI @ 3 Agentic AI CUDA @ 2 Communication @ 3 Data Science @ 3 Debugging Docker @ 2 GPU @ 3 InfiniBand JAX @ 2 Kubernetes @ 2 LLM Linux @ 2 Machine Learning @ 3 Mathematics @ 3 Networking @ 3 PyTorch @ 2 Python @ 6 Reinforcement Learning @ 2 Robotics @ 2 Slurm @ 2 System Administration @ 3

Staff+ Software Engineer, ML Inference Path at Anthropic SENIOR

📍 San Francisco, United States

💰 USD 320,000-485,000 per year

✅ Hybrid

✅ Visa Sponsorship

A/B Testing @ 4 AI @ 6 Automated Testing Compliance Distributed Systems @ 4 Experimentation @ 4 JAX @ 6 LLM Machine Learning Observability PyTorch @ 6 Python @ 6 Security TensorFlow @ 6

Senior Software Engineer, Cosmos Infrastructure and End-to-End Performance at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 152,000-287,500 per year

✅ On-site

AI @ 4 AWS @ 6 Algorithms @ 4 Azure @ 6 CUDA @ 6 GCP @ 6 JAX @ 3 LLM @ 3 Machine Learning Networking @ 7 Performance Analysis PyTorch @ 6 Python @ 6 Reinforcement Learning @ 4 TensorFlow @ 3 TensorRT @ 3 vLLM @ 3

Senior Developer Technology Engineer - Simulation Performance at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 224,000-431,200 per year

✅ On-site

Algorithms @ 4 CUDA @ 4 Data Structures GPU @ 4 JAX @ 4 Leadership @ 6 Mathematics @ 4 Python Reinforcement Learning @ 4 Robotics @ 9 System Architecture Technical Leadership @ 6

Software Engineer, Trainium at OpenAI MIDDLE

📍 San Francisco, United States

💰 USD 295,000-380,000 per year

✅ Hybrid

✅ Relocation

AI AWS @ 1 GPU @ 3 JAX @ 1 LLVM @ 1 Machine Learning PyTorch @ 1

NVIDIA 2027 Internships: Ph.D. Research Generative AI at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 38-94 per hour

✅ On-site

AI @ 3 Algorithms CUDA @ 3 Communication @ 3 Computer Vision Deep Learning @ 3 GenAI Generative AI @ 3 JAX @ 3 LLM PyTorch @ 3 Python @ 3 Robotics TensorFlow @ 3

NVIDIA 2027 Internships: Deep Learning at Nvidia INTERN

📍 Santa Clara, United States

💸 USD 20-71 per hour

✅ On-site

AI AWS @ 3 Algorithms @ 3 Azure @ 3 Bash @ 3 CUDA @ 3 Cassandra @ 3 Computer Vision @ 3 Deep Learning @ 3 Docker @ 3 GCP @ 3 GPU @ 3 HPC JAX Kafka @ 3 Kubernetes @ 3 Linux @ 3 Networking @ 3 OpenCL @ 3 OpenGL @ 3 Parallel Programming @ 3 Perl @ 3 PyTorch Python @ 3 React @ 3 Robotics Spark @ 3 TensorFlow

Robotics Research Engineer - Robot Simulation and Evaluation at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 184,000-356,500 per year

✅ On-site

AI Algorithms CUDA @ 4 Deep Learning @ 4 GPU @ 6 JAX @ 4 LLM Machine Learning @ 6 PyTorch @ 4 Python @ 6 Reinforcement Learning @ 6 Robotics @ 4

Senior AI Compiler Engineer, MLIR at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 152,000-287,500 per year

✅ On-site

AI API Algorithms @ 4 CUDA @ 6 Debugging @ 6 Deep Learning @ 4 GPU @ 4 JAX @ 4 LLVM @ 4 Mentoring @ 4 OpenCL @ 6 Performance Analysis @ 6 PyTorch @ 4 Python @ 6

Senior Deep Learning Compiler Engineer - XLA at Nvidia SENIOR

📍 Santa Clara, United States

💰 USD 152,000-287,500 per year

✅ On-site

AI Algorithms @ 1 CUDA @ 4 Debugging @ 6 Deep Learning @ 1 GPU @ 7 HPC JAX @ 4 LLVM @ 1 Mentoring @ 1 OpenCL @ 4 Performance Analysis @ 6 PyTorch @ 4 TensorFlow @ 4

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

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