Research Engineer, Scalable Simulation & World Models

Mecka

San Francisco (CA)

Vor Ort

USD 170.000 - 300.000

Vollzeit

vor 25 Stunden
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Zusammenfassung

Mecka AI seeks a research engineer to build and scale simulation systems for robotics and embodied AI. You will model physical interactions and connect simulated worlds with real‑world data across Mecka Labs.

You will leverage MuJoCo, Isaac Sim and related tools, pushing sim‑to‑real transfer with domain randomization and learned dynamics, while delivering reusable simulation assets and training infrastructure.

Qualifikationen

  • Deep experience building and debugging physics‑based simulation with MuJoCo, Isaac Sim or comparable platforms.
  • Strong reinforcement learning and embodied AI fundamentals, including observations, actions, rewards and policy evaluation.
  • World models: learned dynamics, latent world models or hybrid physics‑learning systems.
  • Research engineering: strong Python and C++ systems skills; you build scalable, reproducible tools for researchers.

Aufgaben

  • Build simulation environments: model robots, sensors, objects, contacts, materials and dynamics with real‑world grounded scenarios.
  • Scale training workloads: create reliable pipelines for parallel rollouts, synthetic data, policy training and evaluation.
  • Improve physical fidelity: calibrate against measured data, identify dynamics/sensing mismatches, apply improvements.
  • Drive sim‑to‑real: apply system identification, domain randomization and controlled experiments to increase transfer.
  • Develop world models: build learned dynamics or latent models, combine with physics‑based systems for prediction and planning.
  • Collaborate with researchers and engineers to turn prototypes into reusable simulation assets.

Kenntnisse

Physics‑based simulation
Reinforcement learning
Python
C++
Research engineering
Experimental judgment

Tools

MuJoCo
Isaac Sim
GPU‑accelerated simulation

Jobbeschreibung

Mecka AI seeks a research engineer to build and scale simulation systems for robotics and embodied AI. You will model physical interactions and connect simulated worlds with real‑world data across Mecka Labs.

You will leverage MuJoCo, Isaac Sim and related tools, pushing sim‑to‑real transfer with domain randomization and learned dynamics, while delivering reusable simulation assets and training infrastructure.

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