Support an industry hurting from a lack of skilled labor by developing agentic AI systems for industrial applications
Requirements
- Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
- Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo)
- Experience with machine learning techniques applied to robot manipulation
- Experience building models from scratch and deploying them in real-world applications
- Experience with pose estimation, segmentation, active perception, and affordance-based bin picking
- Strong programming skills in languages such as C++ or Python
Responsibilities
- Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks
- Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control
- Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems
- Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning
- Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells
- Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms
Other
- Ph.D. or Master’s degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field
- Strong communication skills, with the ability to convey complex technical concepts to a diverse audience
- Flexible PTO
- Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents on select plans
