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Entry Level Google Robotics Engineer Jobs in California

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

... 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 Chef is seeking a Robotic Operations Engineer to be the first point of contact for ...

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 ...

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 ...

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

Can I get a job with Google with no experience?

Entry-level robotics engineering roles at companies like Google typically require some relevant skills, such as programming, understanding of robotics systems, or coursework in related fields. While prior work experience is not always mandatory, demonstrating proficiency through projects, internships, or certifications can improve your chances of being hired.

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 with robotics kits, programming languages like Python or C++, and understanding control systems can improve your prospects; internships or volunteering can also provide practical experience.

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 research labs or engineering teams within the company.

What engineers make $500,000?

Highly experienced engineers in specialized fields such as software engineering, data science, or robotics engineering can reach or exceed $500,000 annually, especially with senior roles, bonuses, and stock options. Entry-level positions, including entry-level Google robotics engineers, typically have lower starting salaries, but compensation can grow significantly with experience and expertise in high-demand areas.
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:
Infographic showing various Entry Level Google Robotics Engineer job openings in California as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Research Engineer, Benchmarking, Robotics, DeepMind

Google DeepMind

Mountain View, CA • On-site

Full-time

Posted 5 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.