Robotics Simulation Engineer

Alignerr Corp.; Greater London; Remote; GBP 55,000 - 110,000; Part time

Job summary

Alignerr Corp. in London is seeking a Robotics Simulation Engineer to design, build, and optimize high-fidelity simulations that bridge virtual environments and real robots.

This remote, hourly contract role offers 10–40 hours per week, with opportunities to work on MuJoCo, Gazebo, Isaac Sim, and ROS2, using Python and C++ to advance sim-to-real transfer.

Qualifications

• Experience with at least one major robotics simulator.
• Proficiency in Python and/or C++.
• Understanding of rigid-body dynamics and contact mechanics.
• Experience creating valid robot models (URDF, MJCF, or SDF).
• Familiarity with ROS2 integration.

Responsibilities

• Design and implement high-fidelity robot models (URDF/MJCF) with accurate kinematics, dynamics, and contact properties.
• Build and maintain simulation environments using MuJoCo, Gazebo, and/or Isaac Sim.
• 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.

Skills

Python

C++

Robotics simulation

URDF/MJCF modeling

ROS2

Independent work

Problem solving

Tools

MuJoCo

Gazebo

NVIDIA Isaac Sim

ROS2

Job description

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 based in London to design, build, and optimize high-fidelity physical simulations that bridge the gap between virtual environments and real-world robotic systems.

London's world-class universities and growing robotics sector produce some of the best simulation and controls talent in Europe. We want to work with engineers here who are passionate about dynamics, robot modeling, and making simulated worlds behave like the real one.

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