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Google Robotics Engineer Jobs (NOW HIRING)

Skip is a 22-person early-stage start-up that spun out of Google X in 2023. With deep cross ... We are seeking a senior robotics engineer to own the software that makes our wearable robots move.

Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build intelligent machines that solve ...

Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build intelligent machines that solve ...

Robot Delivery Technician

Chicago, IL ยท On-site

$21 - $23/hr

... robotics or engineering * Experience with semi-autonomous robotic systems * Skilled in diagnostic tools and performance tracking * Comfortable using Excel/Google Sheets for reporting * Strong ...

Robot Delivery Technician

Miami, FL ยท On-site

$21 - $23/hr

... robotics or engineering * Experience with semi-autonomous robotic systems * Skilled in diagnostic tools and performance tracking * Comfortable using Excel/Google Sheets for reporting * Strong ...

Robotic Operations Engineer

San Francisco, CA ยท On-site

$81K - $110K/yr

Our team includes engineers and leaders from Google, Cruise, Tesla, Amazon Robotics, Dexterity, Bear Robotics, Saildrone, and Zoox, united by a mission to build intelligent machines that solve ...

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Google Robotics Engineer information

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$29K

$105.6K

$169K

How much do google robotics engineer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for google robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of a Google Robotics Engineer?

As a Google Robotics Engineer, your daily tasks often include designing and testing robotic software and hardware, developing algorithms for perception, motion planning, or control, and troubleshooting system issues. You'll collaborate closely with cross-functional teams of researchers, product managers, and hardware specialists to integrate robotics solutions into scalable products. Regularly, you'll participate in code reviews, brainstorming sessions, and prototyping activities to refine concepts and ensure reliability. This dynamic environment offers opportunities to see your work directly impact innovative products and services at a global scale.

What are the key skills and qualifications needed to thrive in the Google Robotics Engineer position, and why are they important?

Success as a Google Robotics Engineer requires expertise in robotics, computer science, electrical or mechanical engineering, and usually a relevant advanced degree. Familiarity with programming languages such as Python or C++, ROS (Robot Operating System), and simulation tools like Gazebo or MATLAB is commonly expected. Strong problem-solving skills, collaboration, and adaptability are highly valued soft skills in this role. These competencies enable engineers to design complex robotic systems, work effectively in multidisciplinary teams, and drive innovation in real-world automation solutions.

What is a Google Robotics Engineer job?

A Google Robotics Engineer designs, develops, and improves robotic systems using AI, machine learning, and advanced hardware. They work on automation, perception, and control algorithms to enhance robotic capabilities. Responsibilities include software development, sensor integration, and testing in real-world environments. This role requires expertise in robotics frameworks, programming languages like C++ and Python, and experience with machine learning or computer vision. Robotics Engineers at Google contribute to innovations in areas such as autonomous systems, warehouse automation, and research projects.

What cities are hiring for Google Robotics Engineer jobs? Cities with the most Google Robotics Engineer job openings:
What are the most commonly searched types of Google Robotics Engineer jobs? The most popular types of Google Robotics Engineer jobs are:
What states have the most Google Robotics Engineer jobs? States with the most job openings for Google Robotics Engineer jobs include:
Infographic showing various Google Robotics Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Robotics Generalist

Robotics Generalist

Skip

San Francisco, CA โ€ข On-site

Full-time

Re-posted 15 days ago


Job description

ABOUT US:
Skip is on a mission to make life joyful through powered movement.
Movement is a powerful way to build physical, mental and social health. Yet it is elusive for 2 billion people due to age, injury, or disability. We are building products that will restore mobility for millions and enable a new frontier of joyful movement experiences. We want to build a future where a grandparent can easily outrun their grandkids and no one is left behind at the trailhead.
Skip is a 22-person early-stage start-up that spun out of Google X in 2023. With deep cross-disciplinary expertise and key partnerships (e.g. with Arc'teryx) we are uniquely positioned to launch the first commercially successful wearable robotic device, the MO/GO, develop a platform to launch future Movewear products and transform millions of lives in the coming years.
THE ROLE:
We are seeking a senior robotics engineer to own the software that makes our wearable robots move. You'll work across the full stack, from the on-device control loop running in real time on a person's body, to the broader software platform that supports it: data pipelines, device management, tooling, and everything in between
Some of the things you will work on:
  • Architecting and implementing robotic software subsystems across our wearable robotics fleet, sharing components across different products and robot iterations.
  • Ownership of core software and control features, including mechatronics firmware, motor control firmware, and platform features.
  • Contribute to the real-time control loop, including sensing, decision making, logging, and safety monitoring / fault detection.
  • Contributing to machine-learning-based methods across simulation, training, labeling, on-device inference, sensor data collection, and testing.
  • Supporting and contributing to hardware-in-the-loop and on-body test frameworks that validate system behaviour across the full range of real-world conditions, including at device provisioning / factory bring-up.
  • Collaborating with firmware, hardware, and software teammates to define interfaces, resolve cross-disciplinary tradeoffs, and catch integration failures early
  • Contributing to system architecture decisions for current and future products, including our Parkinson's device and future Movewear platform
  • Wear prototypes several hours a week to participate in data collection, on-body testing and provide feedback

Basic Qualifications:
  • 5+ years' experience in robotics
  • Proven track record of writing software that runs on hardware
  • Experience in small teams, ideally in start ups; you're willing to wear many hats and chip in across the board
  • Experience with embedded systems -- you can write C/C++ and you understand what's happening at the hardware level
  • Proficiency in Python and/or C++ for algorithm development, data analysis, and test scripting, including common AI-coding tools (and their pitfalls)
  • Strong foundation in control systems
  • Experience with sensor integration and validation (IMUs, encoders, force sensors, or similar)
  • Ability to work at the Skip Bay Area office at least 3 days/week

Bonus Points:
  • Experience with wearable robotics, exoskeletons, or prosthetics
  • Knowledge of motor control (field-oriented control for BLDC's) and actuator characterisation
  • Embedded linux experience
  • Knowledge of communication protocols (e.g. CAN)
  • Experience with deep learning, especially for robotic systems
  • Experience with actuator characterisation and integration
  • Familiarity with FreeRTOS or other real-time operating systems
  • Experience shipping consumer hardware through DVT/PVT and into production
  • Personal motivation to improve human movement

This is a full time hybrid position working at the Skip office in the Dogpatch neighborhood of San Francisco.
Skip is an equal opportunity employer. Our hiring decisions are based on need and competence to satisfy said need. We do not discriminate on the basis of race, religion, color, gender, sexual orientation, gender identity, age, marital status, veteran status, disability status, or any other legally protected status.
Any and all offers of employment extended by Skip are conditional on candidates' ability to provide satisfactory proof of eligibility to maintain full-time employment in the United States.