Simulation Engineer
Simulation Engineers at AI companies build and operate the simulation infrastructure that supports training, validation, and design across two broadly distinct domains. The first is robotics and autonomous-systems simulation—physics solvers, sensor simulators, and high-fidelity virtual environments for training and validating robots, autonomous vehicles, and other embodied systems. The second is scientific and engineering simulation—finite-element analysis, computational fluid dynamics, atomistic and molecular simulation—used by AI-for-science and TechBio companies to validate predictions and generate training data. The two paths share methodological backbone (numerical methods, validation against experiment, automation at scale) but draw on different deep technical foundations. These engineers typically sit within dedicated simulation, research, or platform teams, collaborating with ML researchers, domain scientists, or robotics integrators depending on the application.
Skills
What companies are looking for in this role.
Building and maintaining high-fidelity physics simulation environments and digital twins
Automating simulation workflows and creating scalable optimization pipelines
Applying finite element analysis and structural mechanics to engineering design problems
Designing and implementing atomistic and molecular simulation workflows for materials systems
Validating simulation outputs against experimental measurements and real-world data
Developing computational fluid dynamics models and multi-phase flow simulations
Architecting evaluation frameworks and metrics for validating simulation fidelity and realism
Developing parametric CAD models and integrating them with simulation and optimization tools
Processing large-scale datasets and simulation logs to extract insights and evaluate system performance
Designing scene generation algorithms and creating diverse, realistic virtual environments at scale
Modeling system dynamics from first principles using numerical methods and experimental validation
Implementing sensor fusion and multi-sensor integration for robust state estimation
Integrating machine learning models into simulation systems and physics-informed workflows
Developing and training foundation models for scene synthesis and realistic world generation
Building reinforcement learning agents and visuomotor policies for robotic control in simulated and real environments
Designing GPU-accelerated physics solvers and optimizing simulation performance on distributed hardware
Implementing imitation learning and behavior cloning approaches for autonomous systems
Developing 3D reconstruction and modeling methods from real-world sensor data
Designing and implementing SLAM and localization systems for spatial understanding
Working across interdisciplinary teams spanning engineering, ML research, robotics, and domain experts
Collaborating with customers and experimental partners to translate domain problems into simulation strategies
Communicating complex technical concepts and research findings to diverse audiences
Mentoring junior scientists and fostering scientific rigor and rapid experimentation
Technology
The tools and technologies that define this role.
Open Jobs
26 open Simulation Engineer jobs across 13 companies.
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