Responsibilities
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• Manipulation Planning: Develop and tune motion planning pipelines using MoveIt 2 to ensure collision-free, smooth trajectory generation for multi-DOF robotic arms.

• ROS 2 Architecture: Architect and implement high-performance ROS 2 nodes with a focus on lifecycle management and real-time constraints.

• Kinematics & Control: Implement and validate Inverse Kinematics (IK) solvers and forward kinematics; interface with hardware drivers to ensure precise motor control.

• Perception Integration: Integrate vision systems (RGB-D cameras and 3D cameras) to enable tasks such as object detection, pose estimation, and dynamic grasping.

• Simulation: Create accurate simulation environments in Gazebo or Isaac Sim to test manipulation logic and verify URDF/Xacro models before hardware deployment.

• Tooling: Write Python scripts for automated testing, data analysis, and system orchestration to support the core C++ codebase.

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Qualifications
 

Required:

• ​B.S. or M.S. degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.

• ROS 2 Proficiency: Strong experience with the ROS 2 ecosystem (Humble or Jazzy), including DDS configuration, parameter servers, and composition.

• C++ (Preferred): production-level C++ (14/17 or newer) skills, with an understanding of memory management, pointers, and real-time coding standards.

• Python (Required): High fluency in Python for scripting, tooling, and rapid prototyping.

• Manipulation Frameworks: Hands-on experience with MoveIt / MoveIt 2, including configuration, OMPL (Open Motion Planning Library), and collision checking.

• Math Fundamentals: Solid grasp of 3D geometry, linear algebra, and coordinate frame transformations (TF2).

• Linux Environment: Comfort working in a Linux terminal, including bash scripting and version control with Git.

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Preferred:

• Relevant professional cloud certification (e.g., AWS Developer/Architect, Microsoft Azure Developer/Architect, Google Cloud Developer/Architect)

• Experience with specific robotic arms (e.g. Trossen, KUKA, etc).

• Knowledge of ros2_control and writing custom hardware interfaces.

• Familiarity with containerization (Docker) for robotic applications.

• Experience with machine learning approaches for grasping or reinforcement learning in robotics.

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Collaboration and Soft Skills:

• Excellent technical communication skills for effective collaboration with cross-functional teams (AI Engineers, Product Managers, other software teams).

• Strong ability to diagnose and troubleshoot complex technical issues across cloud, web, and edge environments.

• Experience working effectively within an Agile/Scrum development methodology.

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Benefits
 

• Competitive compensation and stock options

• Medical, dental, and vision insurance

• Term life insurance

• 401(k) without employer matching

• Discretionary time off (DTO) leave policy

 

Location

San Mateo, CA, on-site

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Apply

Email resume and cover letter highlighting significant accomplishments to: people@kaliber.ai