Example Company
Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
Join a team building useful software. Work closely with engineering and design to turn new ideas into products.
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Manipulation
- Location
- Houston
- Type
- Full time
- Posted
- 3MO AGO
About the role
Robotics Software Engineer, Manipulation
We are looking for a senior Robotics Software Engineer to join our 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:
We are looking for a senior Robotics Software Engineer to join our 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.
- 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.
- 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.
