Quantum Algorithm Engineer: AI-Driven Quantum Research

Los Alamos National Laboratory; Los Alamos (NM); On-site; USD 120,000 - 170,000; Full time

Job summary

Los Alamos National Laboratory is seeking outstanding candidates to join the CAI Division for research in quantum computing, quantum algorithm engineering, AI for quantum algorithm design, and quantum machine learning.

The role focuses on advancing quantum simulation using theoretical and computational methods and on developing AI-driven workflows to optimize quantum algorithms for fault-tolerant quantum computers.

Qualifications

• Demonstrated expertise in quantum algorithms and quantum computation, especially Hamiltonian simulation.
• Strong programming and simulation experience (Python, Julia).
• Experience with HPC or GPU programming.
• Familiarity with Quantum Computing software stacks (QISKIT, PennyLane, cuda-q).
• Experience with AI methods relevant to quantum algorithm design and analysis such as LLM/transformer techniques.

Responsibilities

• Conduct original research to advance quantum simulation in theory and computation.
• Develop analytical tools and workflows leveraging AI to optimize quantum algorithms for fault-tolerant quantum computers.
• Explore Hamiltonian simulation as the central paradigm across projects.

Skills

Quantum algorithms

Programming & simulation

HPC / GPU programming

Quantum software stacks

AI for quantum design

Tools

QISKIT

PennyLane

cuda-q

Python

Julia

Job description

Los Alamos National Laboratory is seeking outstanding candidates to join the CAI Division for research in quantum computing, quantum algorithm engineering, AI for quantum algorithm design, and quantum machine learning.

The role focuses on advancing quantum simulation using theoretical and computational methods and on developing AI-driven workflows to optimize quantum algorithms for fault-tolerant quantum computers.