Robotics Engineer

BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering or related field.
3+ years experience developing and testing robust robot manipulation solutions deployed on real robots after completion of an academic degree program.
Experience leading and shipping complex software projects.
Experience leading projects and people in a tech lead or similar role.
5+ years experience in Python and/or C++.
Understanding both classical and machine/reinforcement learning approaches to robot manipulation, and the tradeoffs between various techniques.
Experience with robotic waypoint generation, path planning, and trajectory smoothing.
Experience with common deep learning frameworks like Tensorflow or Pytorch.
Excellent software engineering fundamentals.
Excellent mathematical skills, especially with geometry, probability and statistics, linear algebra, and machine learning.

Develop classical or ML/RL-based motion planning and manipulation algorithms that work across thousands of different foods with varying physical properties (stickiness, density, viscosity, etc.).
Develop novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters.
Incorporate new sensor data (e.g. force control, cameras) as needed for trajectory optimization and metrics to measure ingredient manipulation performance.
Analyze manipulation performance across ingredients and optimize trajectories for throughput.
Contribute to overall software architecture design and standards, including designing interfaces between subsystems.
Champion engineering excellence, ensuring high-quality, well-structured, and well-tested code.
Stay up-to-date with the latest robotics research and apply insights in a practical way to our system.