System Modeling and Simulation Lead (Quantum Systems)
Core
Build predictive, system-level models of quantum computers based on photonic, electronic, and mixed-domain system descriptions to translate component nonidealities into key quantum performance metrics.
Role type
Senior IC systems modeling and simulation lead (quantum systems)
Builds
Predictive system-level quantum performance models and validated subsystem abstractions
Domain
Quantum computing (silicon photonics) + Systems Engineering
Deliverable
production ML models
Required skills
Systems modeling for complex multi-domain physical systems, Signal processing, Noise analysis, Timing and frequency-domain behavior, Stochastic processes, Statistical data analysis, Python scientific computing, Graph-based system representation
Preferred skills
None stated
Technologies
Python
Responsibilities
Ingest and interpret photonic, electronic, and mixed-domain system descriptions and component models; Translate component and interface performance into end-to-end predictions of key quantum system metrics; Develop coherent, reusable system abstractions that connect logical intent to physical-system behavior; Drive model validation and closure by comparing predictions against measurements; Build usable simulation capabilities that scale with automated tests and clear APIs; Partner cross-functionally to define model needs and communicate model behavior and limitations.
Seniority
Senior, hands-on IC
