Quantum Solutions Engineer 

Company: Dynex (https://dynex.co/)

Type: Remote, Full-time , Contract

About the role

The company is a deep-tech organisation operating at the frontier of quantum-driven computing and large-scale optimisation, delivering production-grade solutions through a scalable quantum-as-a-service platform.

They are now expanding their quantum solutions team and are looking for a Quantum Solutions Engineer to translate complex real-world problems into quantum-native formulations and deliver validated, production-ready solutions across multiple industries.

This is a highly technical, algorithm-focused role combining quantum computing, optimisation, and applied research with real-world deployment.

What you will do

In this role, you will:

• Formulate client problems as QUBO, BQM, and CQM models using pyqubo and dimod

• Design and validate quantum annealing pipelines on the Dynex network via DynexSampler

• Implement Quantum Machine Learning models: QRBM, QNN variants, and hybrid architectures

• Build and test dynex_circuit gate-to-annealing bridges for hybrid quantum workflows

• Perform accuracy benchmarking and statistical validation of quantum outputs

• Author technical methodology reports, academic contributions, and PoC documentation

• Support patent preparation and IP documentation for novel quantum algorithms

• Engage across multiple concurrent industry verticals with consistent delivery quality

Core skills required

• QUBO / BQM / CQM 

• Dynex SDK 

• Pyqubo 

• Dimod 

• Quantum Annealing 

• QML 

• Python 3.10+

• NumPy / SciPy 

• Statistical Validation 

• LaTeX

• Research Writing 

• Git

Nice to have

• D-Wave Ocean SDK 

• Qiskit / Cirq

• Neuromorphic Computing 

• Patent 

• Drafting

• JMIR / arXiv Papers

• Scientific Datasets

The environment

You will work in a highly autonomous, research-driven engineering environment where:

• You own problems end-to-end, from formulation to solution delivery

• You operate across multiple parallel industry use cases

• You collaborate closely with senior technical leadership

• You move fluidly between research, modelling, and production-grade implementation

The work spans multiple real-world domains including:

• Financial optimisation and risk modelling

• Healthcare and medical data applications

• Supply chain and logistics optimisation

• Climate, environmental, and infrastructure modelling

• Data-intensive industrial systems

Candidate profile

They are looking for someone who:

• Has strong experience in algorithm design, optimisation, or applied quantum / ML research

• Enjoys translating abstract problems into mathematical formulations

• Is comfortable working independently in complex environments

• Has strong analytical thinking and structured problem-solving ability

• Communicates technical concepts clearly in writing

• Ideally has a background in Physics, Mathematics, Computer Science, Engineering, or similar

What is offered

• Work on frontier quantum computing applications in production environments

• High autonomy and ownership over technical solutions

• Remote-first contract engagement 

• Exposure to real-world industrial optimisation problems

• Opportunity to contribute to research-grade outputs (papers, patents, methodologies)

Additional notes

• Fully remote 

• Contract-based engagement

• NDA applies due to sensitive technology and client applications

For more information or questions, contact zoe.lepluart@ninox-limited.com.