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TL;DR
Software Engineer (AI): Developing and optimizing compiler infrastructure for generative machine learning and silicon automation with an accent on MLIR, LLVM, and differentiable programming. Focus on building high-performance systems for generative models and reinforcement learning to accelerate AI hardware development.
Company
DeepMind is a world-leading research organization dedicated to solving intelligence to advance science and benefit humanity.
What you will do
- Build and maintain MLIR-based compiler infrastructure for AI hardware.
- Implement generative machine learning and reinforcement learning algorithms.
- Apply formal methods to verify complex computing systems.
- Develop differentiable programming frameworks.
- Write high-quality production code for system development.
- Participate in design reviews to ensure architectural integrity.
Requirements
- Strong proficiency in C++ and Python.
- Experience with compiler construction, specifically LLVM or MLIR.
- Deep understanding of machine learning frameworks and generative modeling.
- Knowledge of formal methods for system verification.
- Ability to work on low-level machine learning acceleration.