qubitsok.com
Cut Noise. Work Quantum.
Americas, United States, Yorktown Heights
•
Posted 102 days ago
🏢 IBM
Role Type
Role Focus
Seniority
Employer Type
This internship focuses on developing new, mathematically sound methods and algorithms across various advanced computing areas like quantum-centric high-performance computing, optimization, and AI. The role involves conducting research into new formulations that combine learning, optimization, and encryption within scalable frameworks. Key activities include implementing solutions such as AI model training, developing solvers, and prototyping software for classical, distributed, and quantum computing systems. The primary goal is to advance AI, secure computation, and scientific discovery through working algorithms and systems.
Key Responsibilities
Develop new mathematically grounded methods and algorithms in areas such as optimization, quantum-centric high-performance computing, and AI.
Conduct research into new mathematical and algorithmic formulations that integrate learning, optimization, and encryption.
Implement solutions, including AI model training and developing numerical and algebraic solvers.
Perform computer programming and software prototyping for classical, distributed, and quantum systems.
Validate developed algorithms and systems using theoretical and practical benchmarks.
Develop and demonstrate working algorithms and systems that advance secure computation and scientific discovery.
Required Skills
Numerical linear and multi-linear algebra
Complexity theory, particularly as related to meta-complexity and foundation models
Knowledge of formal optimization methods
AI for algorithmic reasoning
Quantum-centric high-performance computing
Nice-to-have Skills
Fully homomorphic encryption
Probability theory and stochastic processes
Algorithms related to neural networks
Technology Tags
The primary goal of the role is to develop new mathematically grounded methods and algorithms.
The job requires expertise and research into formal optimization methods, especially discrete optimization.
The job explicitly requires expertise in computational and meta-complexity theory.
The role requires expertise in numerical linear and multi-linear algebra.
The work focuses heavily on AI for algorithmic reasoning, neural networks, and reinforcement learning methods.
The role specifically involves research into quantum-centric high-performance computing and quantum-classical computation.
The implementations integrate encrypted and quantum-classical computation requiring hybrid algorithmic formulations.