NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. The role involves developing sophisticated performance optimizations for deep learning frameworks using JAX, contributing to the design and implementation of core components while enhancing team efficiency with tools for deep learning research and simulations.
Responsibilities
Make meaningful contributions to JAX by designing and implementing core components that drive phenomenal performance on the NVIDIA AI platform
Increase the efficiency of teams developing JAX-based systems by develop tools that streamline the application of deep learning research and simulations to real-world products
Qualification
Required
Pursuing a MS or PhD in Computer Science, Computer Engineering or equivalent program area
Understanding of JAX, Autograd, tracing, code generation and DSL compilers
Working proficiency in Python, familiarity with C++
Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Preferred
Familiar with distributed systems, services, or Deep Learning at large scale
Ability to work optimally with multi-functional teams
Proven technical foundation in CPU and GPU architectures, numeric libraries, modular software design
Benefits
You will also be eligible for Intern benefits.
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
