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Senior Software Engineer, Full Stack
Chef RoboticsSan Francisco, United Statesfull_timeVerifiedPosted 22 Dec 2025
About the role
About Our Team
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.
About the RoleAs a Senior Software Engineer, Full Stack at Chef Robotics, you'll play a key role in developing cloud-based applications that power our intelligent automation platform. Initially focused on building cloud dashboards that enable line workers to operate and control Chef systems and allow customers to program the system efficiently, this role will evolve to encompass extensive backend, cloud, and infrastructure projects. You'll work on provisioning robots for seamless deployment, enabling remote software updates, and developing systems for real-time remote robot control. This is a unique opportunity to contribute to cutting-edge robotics technology and shape the software that powers the future of food automation.
As a small team, we are focused on building a positive in-office culture. We are looking for individuals who are available to work onsite at the office five days a week and can work start-up-oriented hours.
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.
About the RoleAs a Senior Software Engineer, Full Stack at Chef Robotics, you'll play a key role in developing cloud-based applications that power our intelligent automation platform. Initially focused on building cloud dashboards that enable line workers to operate and control Chef systems and allow customers to program the system efficiently, this role will evolve to encompass extensive backend, cloud, and infrastructure projects. You'll work on provisioning robots for seamless deployment, enabling remote software updates, and developing systems for real-time remote robot control. This is a unique opportunity to contribute to cutting-edge robotics technology and shape the software that powers the future of food automation.
As a small team, we are focused on building a positive in-office culture. We are looking for individuals who are available to work onsite at the office five days a week and can work start-up-oriented hours.
Frontend Development & User Experience
- Own the development and maintenance of the HMI dashboard, ensuring an intuitive and responsive user experience
- Design and implement modern TypeScript frontend solutions using React, Next.js, and Vite
- Implement 3D rendering features in the UI using Three.js or Three Fiber for enhanced visualization
- Create user-facing interfaces optimized for autonomy and robotics operations
- Develop internal tools and dashboards using Retool for monitoring and administration
Backend & API Development
- Design and implement robust backend solutions that integrate with autonomy runtime systems
- Build performant REST APIs using Node/Express, Python FastAPI, or similar frameworks
- Expand REST API capabilities for non-autonomy actions and system control
- Integrate real-time pub/sub communication with the autonomy runtime via WebSockets
- Maintain secure and efficient data pipelines between on-device and cloud services
Database & System Integration
- Work with relational databases (PostgreSQL, MySQL, MariaDB) and ORM libraries (SQLAlchemy, Prisma, Sequelize)
- Collaborate with autonomy, robotics, and cloud teams to create seamless interfaces between Chef systems and operators
- Interface with ROS or similar autonomy runtime systems
- Optimize system performance and reliability, addressing latency, scalability, and fault tolerance
Cloud Infrastructure & Deployment
- Improve the performance and reliability of cloud services supporting the Chef system
- Work on provisioning robots for seamless deployment across customer environments
- Enable remote software updates to enhance performance and reliability
- Develop systems for real-time remote robot control and monitoring
Required Qualifications - Technical Expertise
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 5+ years of professional experience in full stack development roles
- Strong proficiency with modern TypeScript frontend frameworks (React, Next.js, Vite)
- Extensive experience with relational databases (PostgreSQL, MySQL, MariaDB) and ORM libraries (SQLAlchemy, Prisma, Sequelize)
- Proven experience building performant REST APIs using Node/Express, Python FastAPI, Ruby on Rails, or similar frameworks
- Understanding of cloud infrastructure and deployment practices
- Experience with real-time communication systems and WebSocket implementation
Domain Knowledge
- Understanding of system performance optimization including latency, scalability, and fault tolerance
- Experience with secure data pipeline design and implementation
- Knowledge of
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