Persona AI
Deep Learning - Robot Manipulation Engineer
Houston, TXfulltimemidAdded today
About this role
We're seeking a Deep Learning engineer to develop and optimize robot manipulation systems using neural networks and computer vision. You'll work on perception, control, and learning algorithms to enable robots to perform complex manipulation tasks in real-world environments.
What you'll do
- Design and implement deep learning models for robotic perception and manipulation
- Develop computer vision pipelines for object detection, pose estimation, and scene understanding
- Create reinforcement learning and imitation learning frameworks for robot control
- Optimize neural network inference for real-time robotic applications
- Integrate deep learning systems with robot hardware and simulation environments
- Conduct experiments to validate and improve manipulation performance
What they're looking for
- Deep learning frameworks (PyTorch, TensorFlow)
- Computer vision and image processing
- Reinforcement learning and imitation learning
- Robot operating system (ROS) or equivalent
- Python and C++
- 3D perception and point cloud processing
- Cuda/GPU programming
- Simulation platforms (Gazebo, PyBullet, MuJoCo)
Opens the official application on the employer’s site. No login required.
Persona AI
Persona AI builds humanoid robots and manufactures them at scale. The company is hiring for specialized engineering roles including quality assurance, reinforcement learning, process optimization, robotics software development, and welding to advance their robotics platform.
- Website
- persona.ai
Likely interview questions
- Describe your experience with deep learning frameworks and which projects best showcase your expertise in robotics applications.
- How have you optimized neural networks for real-time inference on resource-constrained robotic systems?