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Entry Level Google Robotics Engineer Jobs in California

... Google Robotics at X. Now, we're building Automat - the simplest way for companies to create AI ... Imagine a skillful automation developer sitting over your shoulder, turning your most boring ...

... Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year ... About the Role We are hiring an Application Engineer to serve as the vital link between our ...

... Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year ... About the Role We are hiring an Application Engineer to serve as the vital link between our ...

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Robotic Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

... Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year ... About the Role Chef is seeking a Robotic Operations Engineer to be the first point of contact for ...

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We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

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Entry Level Google Robotics Engineer information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as robotics, software engineering, or data science can earn $500,000 or more annually, especially at senior levels or in leadership roles. Achieving this level often requires advanced skills, extensive experience, and working at large tech companies or startups with stock options and bonuses.

How to become a robotics engineer with no experience?

To become an entry-level robotics engineer with no experience, focus on gaining foundational knowledge in robotics, programming, and electronics through online courses, tutorials, or community college classes. Building hands-on skills by working on personal projects, participating in robotics competitions, and learning tools like Arduino or ROS can also improve your qualifications; internships or apprenticeships can provide practical experience and industry exposure.

Can you get a job at Google with no experience?

Entry level Google robotics engineer positions typically require some relevant skills or education, such as knowledge of robotics, programming, or engineering principles. While prior experience is often preferred, candidates with strong foundational skills, certifications, or internships may be considered for entry-level roles. Demonstrating proficiency in tools like Python, C++, or ROS can improve chances of securing such a position.

Does Google hire robotics engineers?

Google hires robotics engineers for roles involving the development and integration of robotics and AI technologies. These positions often require skills in programming, machine learning, and hardware systems, and may be based in various locations or remote work options.
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 Entry Level Google Robotics Engineer jobs in California? For Entry Level Google Robotics Engineer jobs in California, the most frequently searched job titles are:
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Infographic showing various Entry Level Google Robotics Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Research Engineer, Benchmarking, Robotics, DeepMind

Google DeepMind

Mountain View, CA • On-site

Full-time

Posted 28 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:
• 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.
• Partner with researchers to design the content of various benchmarks in order to maximize evaluation signal and stress-test model capabilities.
• Build diagnostic and visualization tools that allow the team to easily root-cause policy failures and track performance regressions.
• Establish evaluation criteria for model releases and own the stability and benchmarking of models slated for critical demos.
• Innovate on how to make real-world hardware evaluation faster, more reproducible, and less reliant on manual human intervention.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Robotics, or equivalent practical experience.
• 2 years of experience with machine learning tools and algorithms, specifically deploying LLMs/VLMs and deep learning models.
• Experience in a technical role (software engineering, AI/ML engineering, or solutions architecture).
• Experience with Python, and with modern AI-assisted development tools to accelerate prototyping.
Preferred:
• Experience with ROS/ROS2, or on-device deployment constraints (Jetson, TPU).
• Experience managing large-scale multimodal datasets, time-series telemetry data, or building automated pipelines for hardware-in-the-loop testing.
• Familiarity with the operational realities of modern vision-language-action (VLA) models or behavior cloning policies and their common pitfalls like task overfitting.
• 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.