Simulation Engineer Autonomous & Soft Robotic Systems

Simulation Engineer – Autonomous & Soft Robotic Systems

Join Botz Innovation as a Simulation Engineer. The role focuses on building physically realistic simulation tools for soft and hybrid robotic systems to support fast, reliable iteration from concept to evaluation.

You will own the physical simulation stack used to model 3D geometry, material behavior, deformation, and dynamics of soft and hybrid robotic systems.

• Run high‑fidelity physical simulations, capturing 3D shape, material behavior, deformation, and dynamics.
• Develop simulation‑in‑the‑loop workflows to guide design‑space exploration and decision‑making.
• Validate and calibrate simulations against experimental data to reduce the simulation‑to‑real‑world gap.
• Own the simulation architecture and its evolution, working closely with adjacent technical teams.
• Optimize simulation performance, implement adaptive meshing, model reduction, and surrogate modelling for scalable exploration.
• Build clean, well‑documented simulation‑facing APIs and establish data logging, versioning, and reproducibility practices.

• Master’s degree or PhD in Mechanical Engineering, Robotics, Computational Mechanics, Physics, or a related field.
• Strong background in computational mechanics, finite element methods, and numerical simulation.
• Hands‑on experience with physics simulation tools (e.g., Abaqus, ANSYS, COMSOL, or equivalent).
• Proficiency in Python and C++ for scientific and simulation software development.
• Experience with mesh generation/refinement and numerical stability issues.
• Solid foundation in continuum mechanics, nonlinear materials, and numerical methods.
• Experience in collaborative, research‑driven engineering environments.

• Experience with soft robotics or compliant/hybrid robotic systems.
• Familiarity with modern physics engines or robotics simulation platforms (e.g., NVIDIA Omniverse/PhysX, Isaac Sim, Mu Jo Co , PyBullet).
• Integration of physical simulation outputs into optimization or learning‑based pipelines.
• Exposure to experimental validation or automated testing workflows.
• Experience with visualization tools such as Para View, VTK, PyVista, vedo, or Blender.
• CI/CD experience for simulation or scientific software.

• Competitive salary and benefits package.
• Opportunity to help define foundational technology at a stealth startup at the forefront of robotics.
• Significant scope for growth and leadership as part of the early team.
• Collaborative, mission‑driven culture.
• Visa sponsorship for candidates.

Mid‑Senior level.

Full‑time.

Information Technology / Software Development.