Simulation Engineer

Developing and optimizing physics simulation engines and solvers for complex dynamics and contact modeling

Building and training large foundation models and generative models for realistic world simulation

Designing experiments and establishing metrics to measure simulation fidelity and realism

Designing and implementing machine learning algorithms for autonomous agent behavior and control

Optimizing GPU-accelerated algorithms for distributed computing and large-scale simulation throughput

Implementing reinforcement learning approaches for robot control and policy learning

Integrating and evaluating third-party simulation engines and frameworks into production systems

Developing 3D reconstruction and modeling systems from real-world sensor and visual data

Developing sensor simulation and rendering systems for realistic synthetic data generation

Implementing simultaneous localization and mapping systems for spatial understanding

Translating cutting-edge research into production-ready, scalable systems and pipelines

Implementing sim-to-real transfer techniques to bridge simulation and physical robot deployment

Working with multimodal models and vision-language models for scene understanding and generation

Developing learning-based approaches combined with classical geometry and optimization methods

Collaborating across research, engineering, and product teams on complex multi-disciplinary projects

Implementing and iterating on research prototypes with rapid experimentation cycles

Setting technical vision and roadmaps while balancing research exploration with product-driven milestones

Communicating research findings and technical insights clearly to internal and external stakeholders

Leading technical teams and providing hands-on guidance on research and engineering problems