Research Engineer – Simulation

Eka Robotics; Cambridge (MA); On-site; USD 90,000 - 130,000; Full time

Job summary

Eka Robotics, based in Cambridge, Massachusetts, is seeking individuals to join their R&D team in building cutting-edge robotics for physical environments. Ideal candidates will have a background in Computer Science or Robotics, with strong skills in C++ and Python.

The role involves enhancing physics engines and optimizing GPU simulators to achieve realistic robot behavior. Join us in shaping the future of robotics!

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.

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

GPU acceleration

Robotics model formats (URDF, SDF, USD)

Education

Bachelor's degree in Computer Science, Robotics, Engineering or related field

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