NVIDIA
AI
SoftwareEngineeringIntern,JAX-Fall2026
Neural analysis suggests this role is
optimal for Entry candidates.
“Software Engineering Intern, JAX - Fall 2026 at NVIDIA. Skills: JAX, deep learning frameworks, AI, scientific computing, performance optimizations. 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.”
What You'll Achieve.
make a lasting impact on our groundbreaking work; make a lasting impact on the world
Industry & Context.
tackle complex challenges
What They're Looking For.
Must Have
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)
Nice to Have
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
What You'll Do.
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.
How You'll Work.
Team & Collaboration
Ability to work optimally with multi-functional teams
Communication Scope
excellent verbal and written communication skills
Full Job Description
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. Join our team in 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. Together, we will push the boundaries of AI and scientific computing to new frontiers! If you're a skilled programmer with a knack for elegant design and a passion for developing customer-facing solutions, this is your opportunity to make a lasting impact on our groundbreaking work. We're looking for highly motivated individuals with excellent verbal and written communication skills who are ready to tackle complex challenges in AI and scientific computing. **What You Will Be Doing:** * 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. **What We Need To See:** * 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) **Ways To St
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