Robotics Engineer: ML-Driven Manipulation Systems

Skild AI Inc.; California City (CA); On-site; USD 100,000 - 300,000; Full time

Job summary

Skild AI Inc. seeks a versatile Robotics Engineer to develop and implement software for our manipulation systems, focusing on controls, perception and planning.

You will deploy learning-based algorithms on real robot setups and collaborate with researchers and the ML team. The role requires building high-quality C++ and Python software for robotic manipulation and deploying it on hardware, with attention to reliability, performance and scalability.

Qualifications

• BS, MS or higher in Computer Science, Robotics, Engineering or related field, or equivalent practical experience.
• Experience in designing robotic manipulation systems and deploying software on real robots.
• Experience with writing controllers and knowledge of robotics (kinematics, dynamics, control, motion planning, SLAM).
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Systems-level understanding of software modules and interfaces in robotic applications (ROS/ROS2, simulators).
• Publications at top-tier ML, robotics or CV conferences are a plus.

Responsibilities

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

Skills

Robotics

C++

Python

ROS/ROS2

Control theory

Motion planning

SLAM

Computer vision

Deep learning

Kinematics

Education

BS/MS in CS/Robotics or related field

Tools

ROS/ROS2

PyTorch

TensorFlow

JAX

Job description

Skild AI Inc. seeks a versatile Robotics Engineer to develop and implement software for our manipulation systems, focusing on controls, perception and planning.

You will deploy learning-based algorithms on real robot setups and collaborate with researchers and the ML team. The role requires building high-quality C++ and Python software for robotic manipulation and deploying it on hardware, with attention to reliability, performance and scalability.