Robotics Software Engineer

• 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) 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.

• BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering, or related field.
• 5+ years of experience in Python and/or C++.
• Experience leading and shipping complex software projects.
• 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.

• Startup experience.
• You’ve shipped working products under tight deadlines.
• Robotics research experience, including publications.
• Experience with trajectory optimization.
• Experience with the robotics tech stack, e.g., Linux, ROS, OpenCV, CUDA.
• Experience with calibration, state estimation, and sensor fusion.
• Experience with basic mechatronics and electronics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.