1

Google Robotics Engineer Jobs in California (NOW HIRING)

Frontend Robotics Engineer

Mountain View, CA ยท On-site

$147K - $200K/yr

Intrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial ... We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate ...

Staff Robotics Engineer

Mountain View, CA ยท On-site

$210K - $259K/yr

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the ... Hardware Engineering is an innovative and collaborative group of electrical, mechanical ...

next page

Showing results 1-20

Google Robotics Engineer information

See California salary details

$28.6K

$104.2K

$166.8K

How much do google robotics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for google robotics engineer in California is $104,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $125,300.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior robotics engineers, especially those working at leading technology companies like Google, can earn $500,000 or more annually, including base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in AI and automation, and often leadership roles or specialized expertise in high-demand areas.

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.

How much does a robotics engineer at Google make?

A robotics engineer at Google typically earns a salary ranging from $100,000 to $160,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, especially for senior roles or specialized skills in robotics and AI.

Can a robotics engineer work in Google?

A robotics engineer can work at Google, especially within teams focused on robotics, AI, and automation technologies. Google hires engineers with skills in programming, hardware integration, and machine learning, often requiring relevant experience and advanced degrees. The role involves developing innovative robotic systems and collaborating across multidisciplinary teams.

Which 3 jobs will survive AI?

For a Google Robotics Engineer, roles that require complex problem-solving, creativity, and hands-on technical skills are likely to persist, such as robotics system designers, AI safety specialists, and hardware engineers. These jobs involve tasks that are difficult to fully automate and often require specialized knowledge, certifications, and continuous learning. Skills in programming, machine learning, and systems integration will remain valuable in the evolving tech landscape.

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 are the most commonly searched types of Google Robotics Engineer jobs in California? The most popular types of Google Robotics Engineer jobs in California are:
What are popular job titles related to Google Robotics Engineer jobs in California? For Google Robotics Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Google Robotics Engineer jobs? Cities in California with the most Google Robotics Engineer job openings:

Research Engineer, Benchmarking, Robotics, DeepMind

Google DeepMind

Mountain View, CA โ€ข On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
Google DeepMind is a pioneering AI lab focused on advancing AI development to solve complex global challenges. As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics, designing evaluation protocols and frameworks to extract meaningful signals from policy execution.
Responsibilities:
โ€ข Design, implement, and maintain scalable, robust frameworks to enable large-scale evaluation of robot policies across offline open-loop testing and real-world hardware evaluations.
โ€ข Partner with researchers to design the content of various benchmarks in order to maximize evaluation signal and stress-test model capabilities.
โ€ข Build diagnostic and visualization tools that allow the team to easily root-cause policy failures and track performance regressions.
โ€ข Establish evaluation criteria for model releases and own the stability and benchmarking of models slated for critical demos.
โ€ข Innovate on how to make real-world hardware evaluation faster, more reproducible, and less reliant on manual human intervention.
Qualifications:
Required:
โ€ข Bachelorโ€™s degree in Computer Science, Robotics, or equivalent practical experience.
โ€ข 2 years of experience with machine learning tools and algorithms, specifically deploying LLMs/VLMs and deep learning models.
โ€ข Experience in a technical role (software engineering, AI/ML engineering, or solutions architecture).
โ€ข Experience with Python, and with modern AI-assisted development tools to accelerate prototyping.
Preferred:
โ€ข Experience with ROS/ROS2, or on-device deployment constraints (Jetson, TPU).
โ€ข Experience managing large-scale multimodal datasets, time-series telemetry data, or building automated pipelines for hardware-in-the-loop testing.
โ€ข Familiarity with the operational realities of modern vision-language-action (VLA) models or behavior cloning policies and their common pitfalls like task overfitting.
โ€ข A deep-seated interest in the future of embodied AI and a desire to build the testing bedrock for robotics development.
Company:
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google. Founded in 2010, the company is headquartered in London, GBR, with a team of 501-1000 employees. The company is currently Late Stage.