Google DeepMind aims to accelerate scientific discovery by combining AI, computational simulation, and automated experimentation
Job Summary
Google DeepMind aims to accelerate scientific discovery by combining AI, computational simulation, and automated experimentation.
The role involves collaborating with interdisciplinary teams to develop infrastructure for running experiments and exploring AI applications in materials science.
Candidates must possess strong software engineering skills in Python and C++ to produce high-quality, reusable code for strategic scientific problems.
Matching Summary
Google DeepMind aims to accelerate scientific discovery by combining AI, computational simulation, and automated experimentation.
Salary
Base: $141,000 - $202,000; Bonus/Equity: Included; Benefits: Not specified
Skills & Requirements
Must-have
Python programming experience
C++ programming experience
Concurrent and distributed software algorithms
Software design and development expertise
Nice-to-have
Scientific knowledge in materials science or physics
Experience with high-performance computing (HPC)
Applied experience with molecular dynamics simulations
Knowledge of modern deep learning architectures
Key Requirements
Degree in Computer Science or equivalent applied experience
Proven experience in concurrent and distributed software algorithms