Grafton Sciences · 6 days ago
Senior Digital Twin Engineer
Redwood City, CA
Full-time
Onsite
Senior LevelGrafton Sciences is building AI systems with general physical ability, aiming to push the frontier of physical AI. They are seeking a Senior Digital Twin Engineer to develop high-fidelity, physics-based digital twins of complex machines, owning the entire twin development process from modeling to validation.
Machine LearningRobotics
Responsibilities
Build and maintain multi-domain digital twins capturing key coupled physics
Develop model identification + calibration pipelines: parameter estimation, uncertainty characterization, experiment design, and automated regression testing for twin fidelity
Combine evidence from first-principles simulators, empirical models, reduced-order models, and surrogates (data-driven or otherwise); choose the right tool per subsystem and operating regime
Create validation workflows: residual analysis, sensitivity studies, robustness checks, drift detection, and version-to-version consistency
Partner with controls/simulation/robotics teams to ensure the twin is usable for prediction, planning, control, and what-if analysis (and RL if/when relevant)
Qualification
Required
Proven experience building/calibrating physics-based digital twins or high-fidelity dynamic models of complex hardware
Strong grounding in areas like: rigid/flexible-body dynamics, structural dynamics, vibrations, thermal modeling, controls, system ID, parameter estimation, numerical methods
Track record dealing with cross-coupled effects (e.g., thermal drift causing alignment error, vibration impacting sensing/actuation, stiffness changes with temperature, etc.)
Comfortable moving between simulation + real-world data: instrumentation, logging, synchronization, sanity checks, and debugging
Strong programming ability (typ. Python/C++/MATLAB) and fluency with simulation toolchains (FEM/MBD/CFD/controls stacks—specifics flexible)
Preferred
Background in machine learning
Benefits
Competitive salary
Meaningful equity
Benefits
Company
Grafton Sciences
Building systems of general physical ability to enable superintelligence
Founded in 2024
11-50 employees
H1B Sponsorship
Grafton Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Early StageCompany data provided by crunchbase