Quantum & AI Optimization Intern

IBM; Town of Yorktown (NY); On-site; USD 89,000 - 164,000; Part time

Benefits offered by this job

8 paid holidays

IBM Employee Stock Purchase Plan

Job summary

IBM Research in Yorktown Heights seeks a Research Intern to design, analyze, and benchmark quantum and hybrid quantum-classical algorithms for optimization and scientific computing. You will work with IBM Research scientists using Qiskit and Python to develop prototypes, perform rigorous experiments, and contribute to open-source projects.

This hands-on role emphasizes original technical work, with opportunities for publications and collaboration with IBM researchers on quantum-centric

Qualifications

• Quantum computing knowledge and algorithms (circuit model, Hamiltonian simulation, variational & sampling-based methods).
• Strong mathematical foundations: linear algebra, probability, discrete math, and computational complexity.
• Proficiency in Python and scientific libraries (NumPy, SciPy) with reproducible coding practices.

Responsibilities

• Design, implement, and analyze quantum, classical, and hybrid optimization algorithms.
• Benchmark quantum optimization approaches on IBM quantum hardware and simulators.
• Contribute to quantum-centric supercomputing workflows and performance baselines.

Education

Bachelor's Degree

Master's Degree

Tools

Qiskit

Python

NumPy

SciPy

JuMP

Pyomo

CVXPY

DOcplex

CPLEX

Gurobi

MOSEK

OR-Tools

Job description

IBM Research in Yorktown Heights seeks a Research Intern to design, analyze, and benchmark quantum and hybrid quantum-classical algorithms for optimization and scientific computing. You will work with IBM Research scientists using Qiskit and Python to develop prototypes, perform rigorous experiments, and contribute to open-source projects.

This hands-on role emphasizes original technical work, with opportunities for publications and collaboration with IBM researchers on quantum-centric