qubitsok.com
Cut Noise. Work Quantum.
Europe, France, Paris
•
Posted 32 days ago
🏢 Synthea Advanced Research and Technologies
Role Type
Role Focus
Seniority
Employer Type
The Quantum–Computational Physics Engineer will join an early-stage deep-tech startup to develop quantum-enhanced molecular physics modules. This role focuses on creating the initial technical demonstrator and Minimum Viable Product by implementing hybrid quantum-classical molecular modeling. The engineer will translate molecular physics into engineering parameters and ensure outputs are ready for industrial simulation workflows. Strong contributors are expected to join the core technical team and help shape long-term product development.
Key Responsibilities
Develop and implement a minimal, reproducible Python-based pipeline for quantum molecular modeling.
Produce solver-ready outputs, such as data tables and functional forms, compatible with industrial simulation workflows.
Build a complete end-to-end technical demonstrator from molecular model creation to input generation for solvers.
Maintain high-quality, documented, and modular code suitable for technical due diligence and industrial demonstrations.
Collaborate with the founder to define the MVP's technical scope, identify differentiators, and help shape the early intellectual property strategy.
Required Skills
Strong background in physics, physical chemistry, or applied mathematics.
Experience with computational modeling or numerical simulation.
Solid Python skills, including familiarity with scientific workflows like NumPy and SciPy.
Good understanding of Quantum mechanics, including Hamiltonians and eigenvalue problems.
Good understanding of Reaction kinetics or thermodynamics.
Nice-to-have Skills
Experience using quantum computing frameworks such as Qiskit, PennyLane, or OpenFermion.
Familiarity with chemical reaction engineering, process modeling, or multiphysics simulation.
Exposure to industrial simulation tools like COMSOL, ANSYS, or Aspen.
Technology Tags
Core focus is on building quantum-enhanced molecular physics modules and translating molecular-scale physics into engineering parameters.
The role focuses specifically on developing hybrid quantumclassical molecular modeling capabilities.
Experience is required with quantum computing frameworks such as Qiskit, PennyLane, or similar.
The role requires solid Python skills, including NumPy and SciPy, for developing a reproducible pipeline.
The goal is to produce solver-ready outputs compatible with industrial simulation workflows such as COMSOL and ANSYS.
This is a primary quantum algorithm implied by the use of frameworks like OpenFermion for molecular modeling tasks.
A strong understanding of quantum mechanics, specifically Hamiltonians and eigenvalue problems, is explicitly required.