Autonomy Robotics Engineer: Planning & Control

Talanto; Irvine (CA); On-site; USD 93,000 - 186,000; Full time

Job summary

Talanto seeks a Robotics Autonomy Engineer specializing in planning and control to design and deploy advanced motion planning and control algorithms for autonomous robots. You will work on navigation, trajectory generation, and control across diverse robotic platforms, from wheeled to humanoid systems, with ROS/ROS 2 and Linux-based development.

The role emphasizes validation in simulation and real-world deployments, data-driven improvements, and collaboration across perception, planning, and

Qualifications

• PhD: 2+ years industry/applied research OR MS: 4+ years OR BS: 8+ years in robotics or related field.
• Strong understanding of motion planning, trajectory generation, and control systems.
• Experience with robotic platforms (wheeled/legged/humanoid).
• Familiarity with ROS/ROS 2 and robotics middleware.
• Proficiency in C++ and Python on Linux.

Responsibilities

• Design, implement, and deploy motion planning and control algorithms for autonomous robots.
• Advance integration of planning with perception and control layers.
• Validate and test algorithms across simulation and real-world deployments.
• Analyze telemetry and real-world data to improve robustness.

Skills

Motion planning

Trajectory generation

Control systems

ROS / ROS 2

C++

Python

Linux

LiDARs / sensors

Education

PhD in Robotics/CS/EE or related field

MS in related field with 4+ years experience

BS in related field with 8+ years experience

Tools

OMPL

MoveIt

Nav2 stack

Job description

Talanto seeks a Robotics Autonomy Engineer specializing in planning and control to design and deploy advanced motion planning and control algorithms for autonomous robots. You will work on navigation, trajectory generation, and control across diverse robotic platforms, from wheeled to humanoid systems, with ROS/ROS 2 and Linux-based development.

The role emphasizes validation in simulation and real-world deployments, data-driven improvements, and collaboration across perception, planning, and