Research Engineer – Simulation

Eka Robotics

Eka Robotics is on a mission to build intelligence for the physical world - robots that are fast, general, and reliable. Our approach, grounded in physics, unlocks superhuman capabilities. We are defining the frontier of robotics research and deployment.

Our team consists of pioneers in robotics and machine learning. We are now hiring to scale our R&D effort. We are looking for hands-on individuals who are excited to help shape the future of robotics.

Responsibilities

Evaluate and extend physics engines (e.g. MuJoCo, Newton)

Scale and optimize GPU-based physics simulators for massive training workloads

Improve the realism of contact-rich manipulation environments

Create tools and automated workflows to validate, tune, and optimize physical and visual assets

Minimum Qualifications

Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related field

Strong C++ and Python programming skills

Hands-on experience with physics engines

Proven ability to build and scale high-performance, physics-based simulation environments

Preferred Qualifications

Strong mathematical & physics background – particularly expertise in rigid/soft-body dynamics, contact mechanics, FEA, and numerical stability

Experience across the entire simulation stack, from CAD import and mesh optimization to real-time rendering

Experience with reinforcement learning, policy training, differentiable physics, or neural simulation models

Background in contact-rich manipulation or legged locomotion

Strong knowledge of GPU acceleration and robotics model formats (URDF, SDF, USD)

Proven success deploying simulation-trained policies onto real-world hardware