Job Opening: Senior Robotics Engineer (Humanoid & Legged Robots)

Autonomous Robots | Humanoid, Legged & AMR
Hiring for an MNC
Onsite – Chennai, India
Experience: 3–6+ Years
Notice Period: 15–30 Days
Total Number of roles: 2

Sun Dec 7, 2025

We’re excited to share an opportunity for a Senior Robotic Engineer role with a cutting-edge robotics team working on humanoid, legged robots, and autonomous mobile robots (AMRs). This role is ideal for hands-on engineers who enjoy building real robots, working deeply across simulation, motion planning, control, and ROS 2-based systems.

What you’ll do

Design, develop, and deploy autonomous robotic systems including humanoid, legged robots, and AMRs.

Build and maintain robot simulations using Isaac Sim, including environments, sensors, and physics behavior.

Develop and integrate ROS1/ROS2 packages in C++ and Python.

Configure and tune MoveIt pipelines for motion planning, collision checking, and manipulation tasks.

Implement and optimize kinematics, dynamics, and control loops (FK/IK, Jacobians, PID, trajectory tracking).

Simulate and integrate sensors such as cameras, LiDAR, and depth sensors; perform sensor fusion using camera, LiDAR, and IMU data.

Build motion planning solutions using OMPL, planning scenes, and grasp planning frameworks.

Create and manage URDF/SRDF models, import robot models into simulation, and validate behavior.

Work closely with hardware, simulation, and software teams to ensure smooth robot bring-up and deployment.

Must have

Strong experience with ROS2 (or ROS1) using C++ and Python

Hands-on expertise in Isaac Sim, MoveIt, RViz, and robot simulation workflows

Solid understanding of Linux, Git, and Docker-based development

Deep knowledge of robot kinematics & dynamics (FK, IK, Jacobians)

Experience with motion planning, collision checking, and planning pipelines

Comfortable working with URDF/SRDF and robot model integration

Knowledge of control theory, including PID controllers and feedback systems

Experience simulating and processing data from LiDAR, cameras, depth sensors, and IMUs

Nice to have

Experience with humanoid or legged robots in research or production
Familiarity with PhysX, contact dynamics, and physics-based simulation
Prior work on grasp planning or manipulation-heavy robots
Exposure to large-scale autonomous systems or multi-robot environments

What success looks like

High-fidelity robot simulations closely matching real-world behavior
Well-structured, production-ready ROS packages and simulation assets
Reliable motion planning and control across multiple robot platforms
Strong collaboration across software, simulation, and hardware teams

Apply Here

Submit your details in the Google Form here.