Job Overview
Job description
- Location:
- Boston Area, United States
- Work arrangement:
- On-site
Role Summary
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
Requirements
- 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
- Role:
- Research Engineer – Simulation
- Job Type:
- FullTime
Company profile

ekarobotics
ekarobotics.comEka Robotics (ekarobotics) builds intelligence for the physical world based on force. Its Vision-Force-Action (VFA) model is designed to remove the usual robotics tradeoff between generality and performance, uniting generality, performance and safety in one foundation. The company describes a single model that generalizes across objects, tasks and environments, is built to scale in the real world, and aims to push robots beyond human limits and into everyone's hands.
- Founded
- 2025