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Ekarobotics

Research Engineer – Simulation

  • Seen live on Ekarobotics' site 2 days ago
  • Mid level
Pay
Not stated
Location
Boston Area
Open for
12+ days
First seen
Oct 23, 2026
Apply on Ekarobotics' site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Ekarobotics' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Ekarobotics, so its true age is longer.

Last checked Nov 2, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

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