Full-Time

Senior Robotics Software Engineer

Posted on 6/19/2025

Chef Robotics

Chef Robotics

51-200 employees

Delivers flexible robotics for food production

Compensation Overview

$150k - $240k/yr

San Francisco, CA, USA

In Person

Onsite five days per week.

Category
Software Engineering (1)
Required Skills
Python
Software Testing
DevOps
Computer Vision
Data Analysis
Requirements
  • Bachelor's degree in Robotics, Computer Science, Computer Vision, Mechanical Engineering, or related technical field
  • 7+ years of professional experience in robotics software development, perception systems, or testing
  • Expert-level programming skills in Python with advanced software engineering capabilities
  • Extensive experience with robotics simulation environments (Gazebo, PyBullet, MuJoCo, or similar)
  • Strong background in computer vision and perception system development and testing
  • Deep familiarity with robot control systems, motion planning, and real-time robotics software
  • Proven experience with CI/CD pipeline development and test automation frameworks
  • Advanced understanding of test automation principles, methodologies, and best practices
Responsibilities
  • Design and implement automated testing frameworks for robot motion planning and control systems
  • Develop advanced evaluation frameworks for core robot behaviors over hundreds of scenarios
  • Develop advanced validation frameworks for real-time control loop performance and stability across diverse operational conditions
  • Build sophisticated test harnesses for hardware-software integration validation
  • Architect simulation environments for testing robotic behavior without physical hardware dependencies
  • Design and implement comprehensive testing frameworks for computer vision algorithms and perception pipelines
  • Create automated test suites for object detection, segmentation, and classification in food production environments
  • Develop validation systems for camera calibration and depth estimation accuracy
  • Build test frameworks for lighting condition variations and visual robustness testing
  • Implement automated testing for ingredient recognition and food property estimation algorithms
  • Create test scenarios for perception system performance under varying environmental conditions
  • Develop test methodologies for validating actuator performance and precision position accuracy
  • Create automated test systems for calibration procedures and joint-space accuracy validation
  • Design and implement test fixtures that measure and validate force control and compliance behaviors
  • Develop comprehensive test cases for evaluating system performance under varying payload and environmental conditions
  • Create comprehensive test suites for safety-critical protective stop mechanisms and collision detection systems
  • Implement sophisticated tests for conveyor tracking and synchronization with moving production components
  • Build validation systems for mechanical system reliability and performance optimization
  • Create complex test scenarios that validate robot controller consumption and response to perception data
  • Develop comprehensive test harnesses for end-to-end validation of vision-guided manipulation tasks
  • Build automated testing systems for calibration between robot coordinate frames and vision systems
  • Design advanced test cases that stress-test robot behavior under perception uncertainty and edge conditions
  • Implement robust validation frameworks for real-time coordination between perception and motion planning systems
  • Create testing protocols for multi-sensor integration and sensor fusion validation
  • Develop CI/CD pipelines specifically optimized for robotics and perception system testing
  • Architect hardware-in-the-loop testing infrastructure for comprehensive component validation
  • Create sophisticated data collection and analysis systems to capture performance metrics and trends
  • Design scalable test environments that simulate various operational and environmental conditions
  • Implement advanced automated test reporting, visualization, and analytics systems
  • Build testing frameworks that support both simulated and real-world validation scenarios
  • Develop comprehensive robotics and perception testing frameworks for production deployment validation
  • Building advanced hardware-in-the-loop testing infrastructure for integrated robotics-perception systems
  • Creating sophisticated simulation environments for comprehensive behavior validation
  • Implementing automated testing pipelines for continuous integration of robotics and perception software
  • Designing validation systems for vision-guided manipulation in food production environments
Desired Qualifications
  • Experience with ROS (Robot Operating System) and its comprehensive testing frameworks
  • Advanced knowledge of real-time systems testing and validation methodologies
  • Experience with OpenCV, PCL (Point Cloud Library), and other computer vision libraries
  • Familiarity with deep learning frameworks (TensorFlow, PyTorch) for perception model testing
  • Experience with force/torque sensing, control, and testing
  • Experience with industrial automation or manufacturing systems testing in production environments
  • Background in food processing equipment testing or production line automation validation
  • Experience with 3D vision systems, point cloud processing, and spatial understanding
  • Familiarity with lighting systems and structured light for industrial vision applications
  • Startup experience with track record of establishing testing frameworks under tight deadlines
  • Experience with automated testing of AI/ML components in robotics and perception systems

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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