Numerical Physicist - Honeywell Quantum Solutions

Honeywell - Broomfield, CO

Design solutions to drive safe living and quality of life
Honeywell Quantum Solutions is focused on developing the world’s most advanced quantum computers, with ‘full stack’ capability from user interface software to the hardware layer and trapped ions. Our premier team of scientists and engineers leverages expertise in complex hardware and software control systems, advanced optics and lasers, magnetics, cryogenics, atomic physics, and ultra-high vacuum environments to design and build systems with best-in-class performance in terms of both fidelity and qubit count. Honeywell believes quantum information systems will revolutionize the way many industries work. As a leading technology company, we intend to help shape the adoption and integration of those systems into the markets of our customers. We’re hiring the world’s best physicists and quantum engineers to make it happen. Honeywell Quantum Solutions is looking for a numerical physicist to apply their knowledge base to unique industrial applications.

The ideal candidate will have an understanding of and experience in computational approaches to optimization problems for a variety of different applications.

In this role, you will apply previous experience to design, analyze, and optimize hardware and software for the worlds most advanced quantum information processors. You will be expected to develop new concepts, write project proposals and communicate ideas and results to fellow team members.

The location for this position will be Broomfield, CO.

Relocation Assistance Provided

You Must Have

Masters or PhD in Physics, Mathematics, Electrical Engineering, or Computer Science
Due to US Export control laws, must be a US Citizen.
We value

Experience modeling electrostatic and RF fields from complex physical structures using FEM or BEM solvers
Experience modeling a variety of physical processes including mechanical deformation and thermal conductivity.
Experience related to computational techniques such as convex/non-convex optimization, linear/non-linear/integer programming, statistical learning, genetic algorithms for optimization, and representation theory
Experience in using cluster or other parallel computing techniques
Additional Information
JOB ID: HRD63208
Category: Engineering
Location: 303 S. Technology Ct., Broomfield, CO 80021 USA