Software Engineering Intern, JAX - Fall

We are developing sophisticated performance optimizations for deep learning frameworks using JAX, a powerful tool that combines automatic differentiation with XLA for high-performance machine learning research. We are committed to creating a fast, modular, and coordinated platform for a wide range of deep learning solutions and pushing the boundaries of AI and scientific computing.

• 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 developing tools that streamline the application of deep learning research and simulations to real-world products.

• Pursuing a MS or PhD in Computer Science, Computer Engineering or an 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, Tensor Flow, scikit-learn).

• 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.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

NVIDIA is committed to fostering a diverse work environment and proudly is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.