Full-Time
Robotics Engineer
All levels
Updated on 11/21/2024
Chef Robotics
51-200 employees
Robotic solutions for food production automation
Compensation Overview
$130k - $225kAnnually
Entry
San Francisco, CA, USA
Position requires onsite presence in San Francisco.
- 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 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.
- 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.
Chef Robotics develops robotic solutions for the food industry, focusing on addressing labor shortages and high turnover rates faced by food companies. Their robots utilize machine learning to adapt to various tasks and environments, allowing for increased production volume and reduced waste. This flexibility sets Chef Robotics apart from traditional automation methods, which often lack adaptability. The company's goal is to help food companies improve efficiency and potentially prevent food shortages in the U.S. by providing versatile automation solutions that lead to cost savings from the outset.
Company Stage
Seed
Total Funding
$24.6M
Headquarters
San Francisco, California
Founded
2019
6 month growth
↑ 25%1 year growth
↑ 33%2 year growth
↑ 113%
Simplify's Take
What believers are saying
- Chef Robotics' innovative approach addresses the labor crisis in the food industry, providing a sustainable solution to labor shortages and high turnover rates.
- The company's rapid iteration and healthy client portfolio indicate strong market acceptance and potential for growth.
- Recent funding of $14.75M will enable Chef Robotics to expand its operations and accelerate deployment, enhancing its market position.
What critics are saying
- The food robotics market is littered with failed concepts, indicating potential challenges in achieving long-term success.
- High dependency on machine learning and robotics technology may pose risks if technological advancements do not keep pace with industry needs.
What makes Chef Robotics unique
- Chef Robotics leverages advanced robotics and machine learning to offer flexible automation solutions, unlike traditional automation methods that lack adaptability.
- The company's focus on high-mix environments and delicate food handling sets it apart from competitors who primarily target low-mix, mass production scenarios.
- Chef Robotics has achieved a significant milestone of over 10 million meals in production, showcasing its practical and scalable solutions in real-world applications.
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