Responsibilities

• Contribute significantly to NVIDIA's initiatives around JAX, enhancing its capabilities and performance.
• Design and implement core components of JAX to ensure peak performance on NVIDIA hardware.
• Collaborate with AI researchers and leaders to develop robust, future-proof models.
• Create tools that improve team efficiency in developing AI-based systems.
• Integrate the latest advancements in numerical computing and deep learning research into practical applications.

Requirements

• Strong programming skills in Python and familiarity with JAX or other deep learning frameworks.
• Proven experience in system design and architecture for high-performance computing applications.
• Excellent communication and planning skills to effectively collaborate with cross-functional teams.
• Deep understanding of numerical computing concepts and their applications in machine learning.
• Experience with optimization techniques and performance tuning in complex systems.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and continuous learning.
• Work in a collaborative environment that fosters innovation and creativity.
• Access to cutting-edge technology and resources to further your career.
• Be part of a team that is shaping the future of AI and deep learning.