Kinematics, Planning & Control Engineer

Sentiac; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Sentiac in India is seeking a robotics specialist to develop kinematics, planning, and control for precise manipulation with constrained motion, real-time execution, simulation, and hardware validation.

You will model serial and constrained arms, implement IK/trajectory generation, and integrate simulators, sensors, actuators, and low-level interfaces to ensure deterministic, verifiable robot behavior.

Qualifications

• Strong C++ and Python programming skills.
• Solid understanding of robot kinematics, dynamics, Jacobians, and coordinate transformations.
• Experience implementing inverse kinematics, trajectory generation, or robot controllers.
• Knowledge of constrained optimisation and real-time numerical methods.
• Experience integrating simulators, sensors, actuators, and low-level robot interfaces.
• Ability to reproduce research methods and validate them through measurable experiments.
• ROS 2 experience is useful, but expertise should extend beyond a single framework.

Responsibilities

• Develop kinematics, planning, and control for precise robotic manipulation.
• Model serial, redundant, and constrained robotic arms; handle constrained motion.
• Build constrained solvers for remote-centre, tool-axis, joint-limit, and workspace constraints.
• Generate and optimise smooth, collision-aware trajectories; implement various control schemes.
• Integrate real-time execution, safety supervision, behaviour trees, recovery logic, and hardware interfaces.
• Establish deterministic baselines, compare solver and controller families, analyse failure cases.

Skills

C++

Python

ROS 2

Kinematics

Real-time control

Tools

ROS 2

Simulation

Job description

Develop kinematics, planning, and control for precise robotic manipulation. Work with constrained motion, real-time execution, simulation, and hardware validation.

• Model serial, redundant, cable-driven, and constrained robotic arms.
• Develop forward and inverse kinematics, Jacobians, singularity handling, calibration, and redundancy resolution.
• Build constrained solvers for remote-centre, tool-axis, joint-limit, and workspace constraints.
• Generate and optimise smooth, precise, collision-aware trajectories.
• Develop Cartesian, task-space, visual-servo, impedance, and admittance control.
• Integrate real-time execution, safety supervision, behaviour trees, recovery logic, and hardware interfaces.
• Establish deterministic baselines, compare solver and controller families, analyse failure cases, and recommend an architecture.

What we are looking for

• Strong C++ and Python programming skills.
• Solid understanding of robot kinematics, dynamics, Jacobians, and coordinate transformations.
• Experience implementing inverse kinematics, trajectory generation, or robot controllers.
• Knowledge of constrained optimisation and real-time numerical methods.
• Experience integrating simulators, sensors, actuators, and low-level robot interfaces.
• Ability to reproduce research methods and validate them through measurable experiments.
• ROS 2 experience is useful, but expertise should extend beyond a single framework.

Good to have

• Analytical IK, differential IK, or hierarchical QP.
• Operational-space, impedance, or admittance control.
• Experience with remote-centre-of-motion constraints, redundant manipulators, visual servoing, force control, cable-driven mechanisms, or safety-critical robots.

Who will fit this role

You should be comfortable owning the deterministic robotics track, from mathematical modelling and solver selection to real-time control, testing, and hardware integration. You can decide how the robot should move, which constraints must always be enforced, and how to prove that the resulting behaviour is precise, stable, and verifiable.

A project or technical problem you are proud of