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Miso Robotics

Automates cooking tasks with robotic kitchen

Robotics Controls Engineer

Full-TimeUpdated on 10/23/2026
$100k - $125k/yr
Junior
Bachelor of Science (BS)
Pasadena, CA, USA
In PersonOnsite in the Pasadena robotics lab; occasional travel to customer locations is required.
AI & Machine LearningRobotics & Autonomous Systems

About the job

Requirements
  • A Bachelor of Science degree in Robotics Engineering, Control Systems, or a similar field.
  • At least 2 years of hands-on experience developing robotics or motion-control systems, including work with robotic arms or other multi-axis mechanisms.
  • Strong understanding of robot kinematics, including forward and inverse kinematics, coordinate frames, Jacobians, and workspace analysis.
  • Experience using AI coding tools such as Copilot, Cursor, and Claude.
  • Experience developing motion-control algorithms, including trajectory generation, proportional-integral-derivative control loops, velocity and acceleration control, and motion profiling.
  • Strong C++ and/or Python programming skills for developing and debugging robotic control software.
  • Experience with ROS/ROS 2 or comparable robotics middleware, including integration of sensors, actuators, controllers, and higher-level robotic behaviors.
  • Experience working with robotic hardware, including servo motors, motor controllers, encoders, force/torque sensors, and other feedback systems.
  • Understanding of real-time robotic systems, including control-loop timing, latency, synchronization, communication protocols, and deterministic behavior.
  • Experience integrating perception and sensor feedback into robot motion, such as using cameras, force sensors, or other sensors for closed-loop control.
  • Strong debugging and system-integration skills, including diagnosing problems across mechanical, electrical, firmware, and software components and validating solutions on physical robots.
Responsibilities
  • Develop and improve motion behaviors for a 6-DOF robotic arm mounted on a linear axis, including end-effector and gripper control.
  • Develop kinematic and dynamic models of the robotic arm, including forward and inverse kinematics, Jacobians, and gravity/force compensation.
  • Implement trajectory generation and motion planning for smooth, precise, and collision-free robot motion.
  • Tune PID, impedance, force/torque, and other control loops to achieve required positioning accuracy, repeatability, and dynamic performance.
  • Develop motion sequences for cooking operations such as picking, placing, stirring, flipping, dispensing, scraping, and transferring food.
  • Integrate motion control with computer vision, object detection, and sensor feedback to enable closed-loop robotic behaviors.
  • Develop real-time responses to changing conditions, such as food position, unexpected obstacles, and variations in cooking processes.
  • Interface motion-control software with motor drives, encoders, force/torque sensors, safety systems, and other robot hardware.
  • Optimize robot motion for cycle time, energy consumption, smoothness, and mechanical wear while maintaining cooking quality.
  • Implement collision detection, joint limits, workspace limits, velocity/acceleration limits, and other motion safety mechanisms.
  • Develop fault detection, recovery, and safe-stop behaviors for abnormal sensor, actuator, or communication conditions.
  • Develop and maintain the real-time software architecture connecting high-level task planning with low-level servo control.
  • Perform simulation, hardware-in-the-loop testing, and real-world validation of motion-control algorithms.
  • Analyze robot performance using telemetry and logs to identify positioning errors, oscillations, latency, mechanical issues, and control instability.
  • Calibrate robot joints, tools/end-effectors, coordinate frames, and sensors to maintain accurate spatial positioning.
  • Develop automated motion-control test procedures and regression tests for new software and hardware releases.
  • Collaborate with mechanical, electrical, perception, AI/ML, and application software engineers to integrate the complete robotic system.
  • Improve system robustness to real-world restaurant conditions, including heat, grease, vibration, food debris, variable loads, and high duty cycles.
  • Support robot installations, field deployments, and on-site system tuning at customer locations, with occasional travel required.
Desired Qualifications
  • Experience with 6+ DOF robotic arms.
  • Experience using advanced AI and machine-learning models applied to robotics systems and motion control.
  • Experience with collision detection and robot safety systems.
  • Experience with motion-planning frameworks such as MoveIt.
  • Experience with Gazebo, Isaac Sim, or other robot simulation tools.
  • Experience with force/impedance control.
  • Experience optimizing cycle time and repeatability.
  • Experience deploying robots in industrial or commercial environments.
  • Familiarity with functional safety and OSHA-oriented robotic safety practices.
  • Experience with high-duty-cycle robotic systems operating around heat, grease, vibration, and variable loads.

About the company

Miso Robotics develops robotic kitchen assistants, such as Flippy, to automate repetitive tasks like frying and grilling in quick-service restaurants. These systems use a robotic arm equipped with sensors and software to identify food items and cook them with high consistency, working alongside human staff in existing kitchen layouts. Unlike traditional kitchen equipment, Miso Robotics provides a flexible automation platform that includes ongoing software updates and maintenance to adapt to different menu needs. The company's goal is to solve labor shortages and rising operational costs by increasing productivity and food quality through standardized robotic labor.

Company Size

51-200

Company Stage

Series C

Total Funding

$30.1M

Headquarters

Pasadena, California

Founded

2016

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Simplify's Take

What believers are saying

  • The Ferri Group began selling Flippy fry stations across the Northeast on September 18, 2026.
  • Miso reported $514,798 revenue in 2025, up from $384,676 in 2024.
  • White Castle deployments remain active across seven states, supporting recurring service revenue.

What critics are saying

  • Miso generated only $514,798 revenue in 2025, exposing weak product-market traction.
  • The company says it needs additional 2026 funding, or operations stall.
  • If unit growth stays flat, failed robot rollouts can erase Miso before pizza launch.

What makes Miso Robotics unique

  • Zume acquisition adds 300-plus patents, giving Miso the food-robotics IP moat.
  • Flippy now installs overnight, fits 9.5 feet, and targets existing fryers.
  • Zippy unifies robot telemetry, scheduling, incentives, and operator analytics in one dashboard.

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Benefits

  • Company Equity
  • Flexible Work Hours
  • 401(k) Retirement Plan

Growth & Insights and Company News

6 month growth

1%

1 year growth

-1%

2 year growth

0%
Associated Press
Oct 21st, 2026
Miso Robotics' Flippy gets 3D vision with NVIDIA, cutting fry station labour by almost 90%

Miso Robotics unveiled a 3D vision system for its Flippy fry station robot on October 15 at its Los Angeles lab during LA Tech Week. The system was built with NVIDIA. It replaces lower-resolution infrared cameras with high-resolution colour cameras and new AI models. Flippy can now identify foods, tell lookalikes such as mozzarella sticks and French toast sticks apart, and refuse to cook when a metal fork falls into the basket. Miso trained NVIDIA models on data from Flippy's live kitchen use. The robot has fried more than 5 million baskets. The system will be included in upcoming installations, with first shipments expected in December.

QSRweb
Oct 20th, 2026
Flippy can now see in 3D: Miso Robotics debuts next generation robot vision live at LA Tech Week.

Flippy can now see in 3D: Miso Robotics debuts next generation robot vision live at LA Tech Week. Leveraging Miso's unique collaboration with NVIDIA, Flippy's new 3D vision reacts to its environment in real time and enables visual training for the famous fry station robot Photo: Miso Robotics October 20, 2026 What if a robot working in a restaurant kitchen could see the way every other cook does? On October 15, Miso Robotics, the leading robotics and technology provider for modern restaurants and hospitality, debuted exactly that. Before a packed house for LA Tech Week of leading technologists, investors, operators and journalists at its Los Angeles robot lab, Miso unveiled the next generation 3D vision for its Flippy fry station robot. The new vision leverages Miso's unique collaboration with NVIDIA. Guests saw where the newest generation of Flippy is today and where it's headed - side by side. Currently deployed nationwide at White Castle, NBA arenas, California State University campuses, and more, today's Flippy cooked nonstop at the event, serving fried crowd-pleasers like chicken strips, fries, mozzarella sticks and jalapeño poppers. Beside it, Flippy's laboratory test unit debuted the new 3D vision system, while a large screen let guests watch in real time what Flippy was seeing. The moment Flippy dropped food into a fry basket, the robot immediately identified it and knew how to cook it. It even delineated between lookalike foods, like mozzarella sticks and French toast sticks - items that can trip up a busy person at the end of a long shift. When a metal fork was dropped into a fry basket, Flippy spotted it instantly and refused to cook. And Flippy tracked all of the objects in its ecosystem seamlessly. "Almost everyone who works the fry station in a commercial kitchen burns themselves. Flippy reduces that to zero, while also reducing fry station labor by almost 90% and freeing up employees to focus on the very human things that deliver excellent customer experiences," said Rich Hull, CEO of Miso Robotics. "Vision is what makes robotics reliable and safe in the real world, and Flippy's vision is making a massive leap forward. We're incredibly proud of our Miso team and our collaborators at NVIDIA, and we're only getting started." "Everybody's talking AI at all the other events, but [Miso is] the only one I know of showing the robot... The fries are perfect, not overcooked, not undercooked, and the fact that it was able to see and detect utensils... this is really a big disruptor." said Enigma Valdez, a data analyst and attendee at the event. The new vision upgrade is built on a simple idea: 3D beats 2D. Until now, Flippy relied on lower-resolution infrared cameras that tracked two dimensional visual markers within its environment. The new system replaces them entirely with high resolution color cameras and new AI models, so Flippy sees and immediately recognizes the whole basket, the food inside it, and the fry station around it in three dimensions. It understands not just what is in front of it, but where it is and how it is positioned. To build these innovations, Miso started with pretrained AI models from NVIDIA's NGC catalog and fine tuned them with NVIDIA's TAO Toolkit, using Miso's own data from Flippy's years in live kitchens. The system runs in real time on NVIDIA GPU hardware right at the fryer. Flippy has fried more than 5 million baskets and logged hundreds of thousands of hours in live commercial kitchens, and the new vision system builds directly on that real world experience. "A commercial kitchen is one of the toughest places on earth for a camera: heat, steam, grease, glare and people constantly moving," said Jeff Faneuff, VP of Software Engineering at Miso Robotics. "We built this system for exactly those conditions. Solving vision here doesn't just make Flippy smarter today. It speeds up everything we build next." The new vision system is designed for kitchens across restaurants and hospitality, from quick service restaurants to stadiums, theme parks, hotels and college campuses. Operators are ready for this kind of progress: according to the National Restaurant Association's 2026 State of the Industry report, 98% of operators name unsustainable labor costs a top concern. Miso's new vision system will be included in upcoming Flippy installations, with first shipments expected in December. To learn more, visit misorobotics.com. Included in this story. Restaurant AI Miso Robotics delivers AI automation for restaurants and hospitality. Flippy automates the fry station, reducing labor dependency with consistent execution at twice the throughput of manual operations. Zippy is your employee revenue engine, turning frontline performance into measurable business outcomes in real time. Request Info

FerMag
Sep 18th, 2026
The Ferri Group, Miso Robotics partner up.

The Ferri Group, Miso Robotics partner up. The manufacturers' rep firm will make Miso's fry station robot available to operators in the Northeast. September 18, 2026 The Ferri Group has added Miso Robotics to the list of brands it represents in the Northeast. It will make Miso's AI-powered fry station robot available to operators. "Adding a prestigious partner like The Ferri Group is exactly the kind of growth we're focused on at Miso as we expand the avenues through which restaurant and hospitality operators can access our signature Flippy Fry Station robot," says Bruce Friedman, chief revenue officer of Miso, in the release. Joe Louis Ferri, principal of The Ferri Group, adds, "The restaurant kitchen of the future needs to be equipped with smart products that can adjust in real time, save on unsustainable labor costs, and make the hardest jobs in the kitchen easier and safer for workers. Flippy has proven itself to be that solution at the fry station and to deliver new profits." Also at The Ferri Group, Michael Kalajian recently joined as culinary sales associate. The brand's second unit in the state is set to open next year, and Michigan also is on the horizon. The newly promoted individual has over 30 years of experience with the company. - Advertisement - Top industry news. For subscriber service, email [email protected]. - Advertisement -

Netzender
Aug 30th, 2026
The robo pizza chefs aren't doing okay.

The robo pizza chefs aren't doing okay. Aug 30, 2026 - 23:17 The future of fast food was supposed to look something like this: walk into a restaurant, place an order, and watch a robot assemble your pizza with machine-like precision. Instead, some of the companies that promised to automate pizza-making have struggled to turn that vision into a sustainable business. The latest example is Picnic, whose robotic pizza-making system was deployed at a Moto Pizza restaurant in Seattle. But in May, its supplier abruptly shut down, leaving the restaurant with expensive machines and no technical support. Lee Kindell, who had invested about $160,000 in the cabinet-like equipment, was left questioning whether robotic pizza-making was worth the gamble. The problems point to a broader issue: making pizza may look like an easy job for a robot, but the messy reality of food preparation is proving considerably harder to automate. Pizza looks simple until a robot has to make it. Companies including Zume and Pazzi have already attempted to automate pizza production, while Basil Street developed pizza vending machines. Yet the BBC reports that the success stories have not materialized at the scale once predicted. Sara Senatore, a restaurant analyst at Bank of America, was quoted stating food-preparation robots can be clumsy, sometimes putting ingredients in the wrong places, while humans remain remarkably efficient at making pizzas. There is still a compelling reason for restaurants to keep trying. Automation can make production faster and more consistent, potentially allowing businesses to serve large numbers of customers with fewer workers. Kindell saw that firsthand when he used Picnic's machines at T-Mobile Park, home of the Seattle Mariners. A setup that would normally require around 10 people could operate with two workers. But the other eight people weren't necessarily eliminated; they could be moved into customer-facing and promotional roles. That distinction could become increasingly important as restaurants experiment with automation without wanting to sacrifice the human interaction customers expect. The robots aren't dead - they're just not ready yet. There are signs the technology is evolving rather than disappearing. Appetronix, which installed a 24/7 robotic pizza unit for Donatos at John Glenn Columbus International Airport in Ohio, is working on faster machines capable of producing a pizza roughly every minute. The company is exploring ways to deposit sauce faster and even investigating lasers and ultrasound for slicing. Meanwhile, Miso Robotics acquired more than 300 patents formerly owned by Zume, suggesting some of the technology developed by failed pizza-automation businesses could find another life. The industry numbers suggest the robot pizza revolution is still more experiment than mainstream reality. The National Restaurant Association found that just 9% of US restaurant operators planned to invest in restaurant robots in 2025. Meanwhile, research into real-world deployments highlights high upfront costs, integration headaches and maintenance downtime as persistent barriers. In other words, restaurants may like the idea of robots - but putting one in the kitchen is another matter entirely. The bigger challenge may be deciding where robots actually make sense. Some restaurants see food as part of a social experience and believe removing people could undermine that appeal. Others are more interested in consistency, speed and round-the-clock production. Kindell remains convinced that fully autonomous pizza-making will eventually work. "There is no doubt in my mind that there will be a fully autonomous pizza robot," he told the BBC. The question, he says, is simply who will be the first to make it work.

Food On Demand
Jul 8th, 2026
Miso Robotics acquires Zume's tech and 300+ patents to expand Flippy features

Miso Robotics has acquired the technology and intellectual property of defunct pizza automation startup Zume, the company announced in late June. The deal includes Zume's hardware, software, and over 300 patents covering food robotics and packaging. Miso said the technology will enable new features for its automated fry cook, Flippy, and support expansion into pizza robotics. Financial terms were not disclosed. Founded in 2015, Zume initially aimed to automate pizza production end-to-end, including baking pizzas inside delivery vans. The company later pivoted to licensing robotics technology and sustainable packaging before shutting down in 2023. Zume had raised $450 million during its lifetime. The acquisition follows Miso's purchase of restaurant operations platform Zignyl in February.