Full-Time

Senior Software Engineer

Generalist

Posted on 10/31/2025

Chef Robotics

Chef Robotics

51-200 employees

Delivers flexible robotics for food production

Compensation Overview

$150k - $240k/yr

San Francisco, CA, USA

In Person

On-site five days per week.

Category
Software Engineering (1)
Requirements
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 7+ years of professional experience in software development with demonstrated full-stack capabilities
  • Proven experience in software development, with a focus on autonomous systems, robotics, or related fields
  • Strong proficiency in programming languages such as Python and JavaScript/TypeScript, with emphasis on object-oriented design and development
  • Experience with software development tools and frameworks commonly used in robotics and autonomous systems (e.g., ROS, OpenCV, TensorFlow, etc.)
  • Familiarity with sensor fusion techniques, perception algorithms, and other technologies relevant to autonomous robotics operations
  • Advanced understanding of cloud infrastructure and deployment (AWS, GCP, or Azure)
  • Experience with containerization (Docker) and orchestration (Kubernetes) technologies
  • Proven experience leading complex, multi-disciplinary software projects from conception to deployment
  • Strong background in system architecture design and cross-functional technical decision-making
  • Understanding of real-time systems, robotics integration, and high-performance application requirements
  • Experience with CI/CD practices, infrastructure-as-code, and production deployment workflows
  • Knowledge of secure system design including authentication, authorization, and data protection
  • Familiarity with performance optimization across multiple technology stacks
  • Strong problem-solving skills and the ability to work effectively in a fast-paced startup environment
  • Excellent communication skills and ability to clearly articulate technical concepts to cross-functional teams
  • Adaptability and comfort working across different technology stacks and problem domains
  • Collaborative team player who works effectively with robotics engineers, hardware engineers, and other specialists
  • Comfort with working startup-oriented hours and commitment to working onsite five days a week
  • Passion for robotics and food automation technology with drive to stay current with emerging technologies
Responsibilities
  • Collaborate with robotics engineers, hardware engineers, and other software engineers across the tech stack to design, develop, and deploy software solutions for food automation robots
  • Participate in all phases of the software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance
  • Develop robust, scalable, and maintainable software systems that meet the unique challenges of commercial food production environments
  • Implement algorithms for perception, manipulation, motion planning, and control to enable autonomous food preparation behavior
  • Work across frontend dashboards, backend APIs, and cloud infrastructure to build comprehensive solutions that integrate with robotics hardware and AI systems
  • Design and optimize database schemas to support robot operations, telemetry, recipe management, and system analytics
  • Implement efficient data pipelines between on-device robotics systems and cloud services
  • Create data access layers and APIs that enable seamless integration across multiple subsystems
  • Develop real-time data processing systems for robotics telemetry and performance monitoring
  • Establish data integrity protocols and backup systems across distributed robotics deployments
  • Optimize software performance and reliability to meet stringent food safety requirements and operational standards
  • Implement fault-tolerant systems with high availability requirements for production food preparation environments
  • Conduct thorough testing and validation of software components to ensure functionality, accuracy, and safety in commercial kitchens
  • Develop comprehensive monitoring, logging, and alerting systems across the entire software stack
  • Create diagnostic tools and performance optimization solutions for operational visibility across all system components
  • Stay current with emerging technologies and industry trends in autonomous systems, robotics, and food automation technology
  • Integrate new sensor data, perception algorithms, and AI/ML components into existing software architecture
  • Implement automated deployment pipelines, infrastructure-as-code practices, and modern development workflows
  • Develop data pipelines between on-device robotics systems and cloud services for real-time operations
  • Contribute to technical architecture decisions and help establish software engineering standards across teams
  • Contributing to end-to-end features that span robotics hardware, perception systems, cloud services, and user interfaces
  • Developing software solutions that enable autonomous food preparation behavior across diverse ingredients and recipes
  • Implementing comprehensive testing and validation frameworks for software components across the platform
  • Building performance optimization and monitoring systems that ensure reliable operation in commercial food environments
  • Collaborating on cross-functional initiatives that integrate multiple engineering disciplines and technology stacks
Desired Qualifications
  • Experience with robotics systems integration and understanding of ROS or similar frameworks
  • Knowledge of real-time communication systems including WebSockets and message queues
  • Experience with time-series databases and telemetry data processing
  • Background in manufacturing, food production, or industrial automation
  • Familiarity with 3D rendering using Three.js or Three Fiber
  • Experience with monitoring and observability tools across multiple system components
  • Knowledge of AI/ML system integration and deployment workflows
  • Startup experience with track record of shipping working products under tight deadlines
  • Experience with microservices architecture and distributed systems design

Chef Robotics provides flexible, machine learning-enabled robotic systems for food production to help food companies cope with labor shortages and high staff turnover. The robots can perform multiple tasks across different production lines and environments, with ongoing maintenance and support. Unlike rigid automation, their ML-driven adaptability lets one set of robots handle diverse tasks, reducing waste and increasing throughput. The goal is to help food companies scale production and cut costs from day one, contributing to a more resilient US food supply.

Company Size

51-200

Company Stage

Series A

Total Funding

$77M

Headquarters

San Francisco, California

Founded

2019

Simplify Jobs

Simplify's Take

What believers are saying

  • Produced over 104 million servings for Amy's Kitchen and Sunbasket, displacing 10% staff since 2022.
  • Raised $43.1M in March 2025 to expand RaaS model into UK and Germany markets.
  • New capabilities automate meat, produce, and baked goods packing across US, Canada, UK.

What critics are saying

  • ABB and Fanuc displace Chef with superior vision robots in high-volume CPG meat packing within 6-12 months.
  • Miso Robotics' Flippy erodes Chef's ghost kitchen expansion via cooking deployments since 2021.
  • $26.75M Silicon Valley Bank debt triggers dilution if RaaS defaults rise in 12-18 months.

What makes Chef Robotics unique

  • Chef Robotics' AI robots automate deformable food packing like sauce sachets using real-time computer vision.
  • Chef+ doubles ingredient capacity while matching worker footprint for tight production spaces.
  • Robot-to-robot communication achieves 150 trays per minute on shared conveyors without infrastructure changes.

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Benefits

Flexible Work Hours

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

5%

2 year growth

0%
PR Newswire
Apr 9th, 2026
Chef Robotics' AI models now automate meatpacking tray assembly

Chef Robotics has announced its physical AI models can now automate tray assembly for meatpacking, handling raw, frozen and precooked proteins including pork loin fillets, chicken breasts, steaks and sausages. The application addresses a historically difficult automation challenge caused by meat's irregular, deformable and variable characteristics. Built on Chef's piece-picking capability, the system uses AI and computer vision trained on extensive data covering protein appearance, physical properties and handling characteristics. Key features include detecting and reorienting pieces mid-motion regardless of original position, completing assembly in a single automated pass, and ensuring consistent spacing through vision-based calculations. The meatpacking capability is available in the US, Canada and the UK through Chef's robotics-as-a-service pricing model. Chef Robotics has produced over 101 million servings in production.

PR Newswire
Mar 12th, 2026
Chef Robotics launches robot-to-robot communication for high-speed food production lines

Chef Robotics has announced robot-to-robot communication technology, enabling multiple robots on shared conveyor lines to coordinate and increase throughput in food manufacturing facilities. The system allows Chef robots to communicate directly via built-in wireless radios, sharing real-time data about tray positions and orientations. When one robot deposits an ingredient, it immediately alerts downstream robots, which then know precisely which tray to target. Each robot maintains its own perception system whilst wireless communication keeps them synchronised. The technology requires no additional infrastructure and works across various ingredients without ingredient-specific models. In some configurations, Chef robots can reach speeds of up to 150 trays per minute. The company, which has produced over 96 million servings, offers the capability through its robotics-as-a-service model in the US, Canada and UK.

PR Newswire
Mar 3rd, 2026
Chef Robotics unveils conveyor connect for AI-enabled meal assembly robots

Chef Robotics has launched Conveyor Connect, enabling its AI-powered meal assembly robots to communicate with various conveyor types, including continuous belt, chain and indexing conveyors. The system is already deployed in production across multiple customer facilities. The technology uses a wireless, waterproof companion box that attaches to existing conveyor control systems, allowing Chef robots to read belt speeds in real time, control conveyor movement and coordinate stop-and-go operations. This eliminates the need for infrastructure changes and enables robots to move freely between stations. San Francisco-based Chef Robotics has produced over 94 million servings in production. The Conveyor Connect capability is available to food manufacturers in the US, Canada and UK through Chef's robotics-as-a-service pricing model.

The Robot Report
Dec 20th, 2025
Chef Robotics launches its most advanced assembly robot yet

Chef Robotics launches its most advanced assembly robot yet. Chef Robotics Inc. yesterday introduced Chef+, which it said is its most advanced meal-assembly robot yet. The San Francisco-based company said it is an innovator in artificial intelligence-enabled meal assembly for the food manufacturing industry. Built on insights from more than 80 million servings in production, Chef+ delivers reliability, double the ingredient capacity, a reduced footprint, improved food safety, and enhanced usability and performance compared with previous models, said Chef Robotics. The company raised $43 million earlier this year in Series A funding. It has used that investment to expand its business and innovating with new capabilities, such as those in Chef+. Chef+ address operational constraints. Food manufacturers face critical operational constraints: Limited production floor space restricts equipment placement, frequent ingredient refills disrupt production throughput, and stringent food safety standards demand easy-to-clean equipment. Chef+ is explicitly engineered to address these challenges through advancements in six key areas: * Doubled ingredient capacity: Ingredient pans are twice the volume of previous models, significantly extending the time between refills. This allows refill runners to load ingredients less frequently, reducing labor touchpoints and increasing productivity. The increased capacity is particularly beneficial for low-density and voluminous ingredients, such as leafy greens, and for large portion deposits, such as pasta. * Reduced footprint: Despite its doubled capacity, Chef+ maintains the same footprint as a worker. This thinner design allows facilities to deploy robots in tight spaces and place two production lines back to back, optimizing valuable floor space, according to Chef Robotics. * Enhanced reliability: Drawing on extensive runtime at customer facilities, Chef+ features integrated electrical enclosures that conceal all wiring in sealed tubes, increasing mean time between failures (MTBF). The robot features IP cameras, which are more reliable than USB-C cameras for cold production environments. Chef+ also includes an integrated water separator that captures excess moisture in pneumatic tubes, ensuring that air remains completely dry. It uses an array of dome antennas for improved Wi-Fi connectivity. * Advanced food safety: The Chef+ frame replaces the two front closed tubes with an open-angle iron frame. This makes surfaces easier to clean and eliminates hidden crevices where residue can accumulate, helping manufacturers meet strict food safety and sanitation standards. * Improved usability: Chef+ features several functions to enhance usability and reduce setup and changeover time. Ingredient pans slide easily into the robot, thanks to an integrated locking mechanism. P-CAP technology makes the touchscreen easier to use with gloves in cold production environments. In addition, a daisy-chain power configuration allows manufacturers to connect multiple robots to a single ceiling power source. Finally, Chef+ includes self-leveling feet and an integrated handle, making it easier to move around on the production floor. * Enhanced performance: Chef+ delivers higher CPU and GPU processing power and adapts to variable ingredient types in real time, claimed Chef Robotics. It also includes a three-camera vision system to accurately track conveyor speed and trays for precise ingredient placement. Chef+ has undergone rigorous testing in the company's cold-room lab environment and is already running in production at several customer sites. The robot is now widely available to food manufacturers across the U.S., Canada, and the U.K. New 'pat down' gripper attachment flattens food. Chef Robotics said its new "pat-down" capability takes on the manual task of flattening ingredients to ensure uniform tray coverage and improved sealing. By automating this repetitive, labor-intensive process, manufacturers can enhance meal presentation and reduce costs while addressing critical labor shortages. The new capability fully automates meal-flattening tasks using vibration technology in the end effector along with a flat, cross-slotted utensil. This new utensil is interchangeable with Chef's depositing utensils and features a cleanable, rounded-edge design that meets food safety standards and cleaning protocols. The solution employs AI-powered computer vision software to detect and track trays on the conveyor in real-time, understanding their position and orientation. This capability enables the robots to handle variations in tray positions, line stoppages, and speed changes that traditional automation cannot manage, asserted Chef Robotics. For high-volume operations, the pat-down capability integrates with Chef's robot-to-robot (R2R) system, enabling multiple robots to coordinate and distribute tasks by alternating trays for increased throughput. Production lines can also use robots for both meal assembly and pat-down operations simultaneously, with one robot depositing ingredients while another flattens meals. The pat-down capability eliminates a strenuous, repetitive task, freeing up workers for higher-value tasks while reducing overall production costs and preventing repetitive stress injuries. Beyond labor cost reduction, the solution addresses downstream operational challenges such as spillage during sealing, machine downtime, rejected trays, and food waste. Some Chef customers have already deployed the pat-down capability on their production lines, ensuring consistent presentation and tray sealing for frozen meals such as mac and cheese. The capability is now widely available to food manufacturers in the U.S., Canada, and the UK. As part of Chef's robotics-as-a-service (RaaS) pricing model, the capability requires no upfront capital investment.

TechOrange
Jul 7th, 2025
Chef Robotics secures $20.6M funding success

Chef Robotics, a Silicon Valley startup, has developed AI robots for food production and packaging, addressing labor shortages in the food service industry. Despite initial setbacks due to a "grasping problem" in fast food, the company pivoted to the frozen food and central kitchen markets. They recently secured $20 million in Series A funding. Their AI system, ChefOS, enhances robot flexibility, enabling them to handle diverse ingredients, with plans to expand into commercial kitchens.

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