Chef Robotics - San Francisco, CA

posted 3 months ago

Full-time - Mid Level
San Francisco, CA
Publishing Industries

About the position

Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI's biggest impact will be in the physical world, given industries like manufacturing, food, and transportation represent 90% of global GDP. We're starting with food, with a goal to put an intelligent robot in every commercial kitchen in the world. We have signed multiple multi-year contracts with various large food companies and we are growing fast. We're backed by investors like Kleiner Perkins, Construct, Bloomberg BETA, and Promus Ventures. We have a great team, where you will be surrounded by talented engineers and tech leaders from companies like Cruise, Zoox, Google, Verb Surgical, Tesla, Nuro, Vicarious, Amazon Robotics, Strateos, Built Robotics, Facebook, Plenty, Yelp, and Microsoft. Chef is looking for a Robotics Engineer to help us scale our fleet of robots. You will be making a large impact on a small team, developing a novel and scalable robot manipulation system that allows our robots to reliably serve millions of meals in production environments. Your role will involve developing 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.). You will also develop novel algorithms to learn ingredient properties on-the-fly and intelligently adapt manipulation parameters. Incorporating new sensor data (e.g., force control, cameras) as needed for trajectory optimization and metrics to measure ingredient manipulation performance will be part of your responsibilities. Additionally, you will analyze manipulation performance across ingredients and optimize trajectories for throughput, contribute to overall software architecture design and standards, and champion engineering excellence by ensuring high-quality, well-structured, and well-tested code. Staying up-to-date with the latest robotics research and applying insights in a practical way to our system will be crucial to your success.

Responsibilities

  • 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

Requirements

  • BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering or related field
  • 5+ 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
  • 5+ years experience in Python and/or C++
  • Understanding of 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

Nice-to-haves

  • 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, sensor fusion
  • Experience with basic mechatronics and electronics
  • Experience leading projects and people in a tech lead or similar role

Benefits

  • Medical/dental/vision insurance
  • Commuter benefits
  • Flexible PTO
  • Catered lunch
  • 401(k) matching
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