Robotics Manipulation Engineer: AI-Driven Deployment

Skild AI Inc.

San Francisco (CA)

Sur place

USD 100 000 - 300 000

Plein temps

14 jours+

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Résumé du poste

Skild AI Inc. is seeking a versatile Robotics Engineer to develop software for manipulation systems, deploying learning-based algorithms on real robots.

You will collaborate with researchers and the ML team to build high-quality software for robotic manipulation and hardware deployment. The role requires strong foundations in controls, perception, and planning, and experience with C++ and Python, ROS/ROS2, and modern DL libraries.

Qualifications

  • BS/MS or higher in CS/Robotics or related field, or equivalent practical experience.
  • Experience designing robotic manipulation systems.
  • Experience deploying software on real robots.
  • Proficiency in Python and at least one deep learning library.
  • Knowledge of ROS/ROS2 and simulators.
  • Publications at top-tier ML/robotics/CV conferences is a plus.
  • Familiarity with SLAM, kinematics, dynamics, control.

Responsabilités

  • Design algorithms, models, and techniques for robotic manipulation tasks.
  • Design hardware and software systems for robotic manipulation tasks.
  • Write controllers and perception stacks for real-world deployment.
  • Write production-level C++ and Python code for robotic manipulation platforms.
  • Collaborate with ML engineers to deploy state-of-the-art models on robots.
  • Continuously improve and optimize robotic software for performance, reliability, and scalability.

Connaissances

C++
Python
ROS/ROS2
Machine learning
Kinematics & dynamics
SLAM

Formation

BS/MS in CS/Robotics or related field

Outils

ROS/ROS2
Simulators
TensorFlow/PyTorch

Description du poste

Skild AI Inc. is seeking a versatile Robotics Engineer to develop software for manipulation systems, deploying learning-based algorithms on real robots.

You will collaborate with researchers and the ML team to build high-quality software for robotic manipulation and hardware deployment. The role requires strong foundations in controls, perception, and planning, and experience with C++ and Python, ROS/ROS2, and modern DL libraries.

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