Research Engineer – Simulation

Eka Robotics; Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Eka Robotics in Boston, MA, is hiring hands-on engineers to scale our R&D in robotics simulation. You will work on physics-based environments, extend engines, and optimize GPU accelerators for large training workloads.

You will help improve realism in contact-rich manipulation and build automated validation workflows for assets. Ideal candidates have a strong background in C++, Python, and physics engines with a track record of building scalable simulation systems for robotics research and

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.

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.

Skills

C++

Python

Physics engines

Education

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

Tools

MuJoCo

Newton

Job description

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