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.
ResponsibilitiesEvaluate 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
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
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
Skills Required
- Bachelor's degree or higher in Computer Science, Robotics, Engineering, or related field
- Strong C++ programming skills
- Strong Python programming skills
- Hands-on experience with physics engines (e.g., MuJoCo, Newton)
- Proven ability to build and scale high-performance, physics-based simulation environments
- Strong mathematical & physics background (rigid/soft-body dynamics, contact mechanics, FEA, numerical stability)
- Experience across simulation stack (CAD import, mesh optimization, real-time rendering)
- Experience with reinforcement learning, policy training, differentiable physics, or neural simulation models
- Background in contact-rich manipulation or legged locomotion
- Knowledge of GPU acceleration and robotics model formats (URDF, SDF, USD)
- Proven success deploying simulation-trained policies onto real-world hardware
Eka Robotics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Eka Robotics and has not been reviewed or approved by Eka Robotics.
-
Fair & Transparent Compensation — Some Eka Robotics job postings publicly share salary bands for specific roles, offering a degree of clarity on base pay expectations. These disclosures provide directional insight even though not all listings include ranges.
Eka Robotics Insights
What We Do
The Era of Superhuman Robotics.
