Senior JAX Platform Engineer: Build Fast AI Tools

NVIDIA; United Kingdom; On-site; GBP 90,000 - 150,000; Full time

Job summary

NVIDIA is hiring senior engineers to advance its AI platform, focusing on performance optimizations in deep learning frameworks using JAX. You will design core components, differentiate Python control code from NumPy, and collaborate with researchers to build scalable, future-proof models.

The role emphasizes strong programming and system design, with an expectation of cross-functional collaboration and the ability to deliver polished tools for data, training, and analysis across NVIDIA products.

Qualifications

• BS in Computer Science or Computer Engineering or related field (or equivalent experience).
• 6+ years relevant experience.
• C/C++ and Python programming.
• Experience with machine learning frameworks and their internals (e.g. PyTorch, TensorFlow, scikit-learn, etc.).
• Proven ability developing customer-facing solutions, balancing feature requests and bugs.
• Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design.

Responsibilities

• Design and implement JAX core components and drive peak performance on NVIDIA products.
• Play meaningful role in NVIDIA's effort in contributing to JAX.
• Work with AI applied researchers and leaders to build future-proof models.
• Build tools that will increase the efficiency of teams developing AI-based systems.
• Bridge the gap between the latest in numerical computing, simulation and deep learning research and their applications in real world products.

Skills

C/C++

Python

ML frameworks

Communication

System design

GPU architectures

Education

Bachelor's degree in CS/CE or related field

Tools

JAX

Job description

NVIDIA is hiring senior engineers to advance its AI platform, focusing on performance optimizations in deep learning frameworks using JAX. You will design core components, differentiate Python control code from NumPy, and collaborate with researchers to build scalable, future-proof models.

The role emphasizes strong programming and system design, with an expectation of cross-functional collaboration and the ability to deliver polished tools for data, training, and analysis across NVIDIA products.