NVIDIA is seeking a skilled programmer to join their team focused on developing performance optimizations for deep learning frameworks using JAX. The role involves designing and implementing core components to enhance performance on the NVIDIA AI platform. Candidates will work in a diverse and innovative environment, contributing to the advancement of AI and scientific computing. This position offers an opportunity to make a significant impact on groundbreaking projects.

• 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 and familiarity with C++.
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.

• 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.