Sangha Partners Fueling B2B Sales Growth

Robotics Software Engineer, Manipulation

We are looking for a senior Robotics Software Engineer to join our clients Manipulation team. In this role you will own and drive development across the full manipulation stack; from grasp planning through trajectory optimization, motion control, and whole-body integration. You will work at the intersection of classical robotics and modern machine learning, translating algorithmic research into reliable, production-ready systems on our humanoid platform. We are looking for someone with strong fundamentals across the modular components of a manipulation pipeline, paired with the engineering discipline and software skill to build robust, production-ready implementations.

Your Role:

• Develop and optimize the full manipulation pipeline, integrating perception inputs through grasping, trajectory optimization, motion planning, and control.
• Implement robust control strategies for precise manipulation including force/motion control and visual servoing.
• Integrate the manipulation pipeline with the humanoid robot's whole-body controller and contribute to loco-manipulation development.
• Develop digital twins of manipulation scenes for algorithm development using simulators such as MuJoCo and Isaac Sim.
• Conduct rigorous testing in both simulated and real-world environments.
• Work closely with the machine learning team to help train and deploy models for advanced manipulation tasks.
• Stay informed about the latest research, leveraging both traditional methods and deep learning-based approaches.

We're Looking For:

• BS, MS, or PhD in Robotics, Computer Science, or a related field.
• 5+ years of experience in robotics with a strong emphasis on control and manipulation of robotic or humanoid arms.
• Strong background in motion planning, control theory, and optimization.
• Demonstrated expertise implementing manipulation algorithms for tasks such as pick-and-place, bin picking, door opening, and similar real-world behaviors.
• Experience with robotic end-effectors or multi-fingered hands in real-world deployment.
• Proficiency in C++, Python, and relevant robotics libraries (MoveIt!, Drake, OpenRAVE).
• Experience with trajectory optimization libraries (IPOPT, SNOPT, qpOASES).
• Experience with computer vision algorithms, sensors, point clouds, segmentation, and object detection.
• Familiarity with ROS, LCM, or other middleware for robotic systems.

Bonus Qualifications:

• Experience developing algorithms for contact modeling and force/torque estimation.
• Experience controlling dexterous, multi-fingered robotic hands.
• Experience with machine learning for manipulation, including behavior cloning and reinforcement learning.
• Publications in top-tier robotics conferences focusing on manipulation systems.
• Experience in a humanoid robot startup environment.