Quantum Algorithm Engineer - Generative Models
Core
Develop low-qubit quantum methods for synthetic and rare-event data generation, benchmarking them against classical alternatives for hybrid computing workflows.
Role type
Quantum Algorithm Engineer (Generative Models)
Builds
Quantum generative components for OQC's hybrid computing platform
Domain
Quantum Computing / Generative AI / Financial Services
Deliverable
production ML models
Required skills
Quantum algorithms, low-qubit generative modelling, QCBMs, qGANs, quantum Boltzmann methods, variational circuits, quantum sampling, circuit optimization, simulator and QPU testing
Preferred skills
Packaging research algorithms for engineering workflows, regulated enterprise use cases, synthetic/rare-event dataset application
Technologies
QPUs, simulators, latent-space QCBMs, adversarial models, continuous-output quantum generative methods
Responsibilities
Design and test quantum generative approaches on simulators and QPUs; optimize circuits around hardware constraints; benchmark quantum models against classical alternatives; validate approaches experimentally; package validated components for the hybrid platform
Seniority
Mid-Senior, hands-on IC
