About The Role

What if the physics simulations you build could teach the next generation of robots how to walk, grasp, and navigate the real world We're looking for Robotics Simulation Engineers in Bangalore to design, build, and optimize high-fidelity physical simulations that bridge the gap between virtual environments and real-world robotic systems.

Bangalore's deep engineering talent and growing robotics ecosystem make it an ideal base for this work. You'll work at the intersection of robotics, physics, and software engineering — creating simulation pipelines that power robot learning, controls development, and hardware validation.

This is a fully remote, flexible contract role. No corporate red tape — just meaningful, technical work on problems that matter.

Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

Design and implement high-fidelity robot models (URDF/MJCF) with accurate kinematics, dynamics, and contact properties
Build and maintain simulation environments using MuJoCo, NVIDIA Isaac Sim, and/or Gazebo
Develop end-to-end simulation pipelines for robot training, testing, and validation
Tune physics parameters — friction, damping, inertia, actuator models — to maximize sim-to-real transfer
Integrate simulations with ROS2 for perception, planning, and control workflows
Write clean, performant code in Python and/or C++ to support simulation infrastructure
Collaborate asynchronously with robotics researchers and engineers on model accuracy and environment design
Profile and optimize simulation performance for large-scale or parallelized runs
Document simulation configurations, model parameters, and pipeline architecture

Who You Are

Strong hands-on experience with at least one major robotics simulator: MuJoCo, NVIDIA Isaac Sim, or Gazebo
Proficient in Python and/or C++ in a robotics or scientific computing context
Solid understanding of rigid-body dynamics, contact mechanics, and control theory
Experience creating and validating robot models (URDF, MJCF, or SDF formats)
Familiarity with ROS2 and its integration with simulation environments
Comfortable working with simulation pipelines — from environment setup to data collection and evaluation
Self-directed, detail-oriented, and effective when working independently
Strong problem-solving instincts and a drive to close the sim-to-real gap

Nice to Have

Experience with domain randomization, sim-to-real transfer techniques, or reinforcement learning in simulation
Familiarity with GPU-accelerated simulation (e.g., Isaac Gym, MuJoCo MJX)
Background in legged locomotion, manipulation, or multi-body systems
Experience with CI/CD for simulation testing and automated validation
Knowledge of sensor simulation — cameras, LiDAR, IMUs, force/torque sensors
Contributions to open-source robotics or simulation projects
Graduate-level coursework or research in robotics, controls, or computational physics

Why Join Us

Work on cutting-edge robotics simulation projects that directly impact how robots learn and perform
Fully remote and flexible — work when and where you're most productive
Freelance autonomy with technically challenging, meaningful work
Collaborate with a global community of robotics and AI professionals
Gain exposure to state-of-the-art simulation frameworks and research-grade problems
Potential for ongoing work and contract extension as new projects launch