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Entry Level Google Robotics Engineer Jobs (NOW HIRING)

Muon Space

Software Engineer, Entry-Level

San Jose, CA

$142K - $169K/yr

... Entry-level software engineers are expected to bring significant skills and training, and then to ... Experience with satellites, robots, or other autonomous systems * Previous experience on technical ...

jobr.pro

Electrical Engineer, Robotics Hardware

Boston, MA · On-site

$70 - $300/hr

We are recruiting across a wide range of experience levels from entry level engineers to senior and ... Deployed Robotics: Experience working on robotics deployed in real world settings such as ...

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Entry Level Google Robotics Engineer information

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$29K

$105.6K

$169K

How much do entry level google robotics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level 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.

Does Google hire entry level Google Robotics Engineers?

Google does hire entry-level robotics engineers, often for roles involving research, development, and deployment of robotics and AI technologies. Candidates typically need a strong background in robotics, programming, and related skills, and may be expected to have relevant internships or project experience.

How to become an entry level Google robotics engineer?

To become an entry-level Google robotics engineer, candidates typically need a bachelor's degree in robotics, computer science, electrical engineering, or a related field. Gaining experience with programming languages like Python or C++, understanding robotics frameworks such as ROS, and developing skills in hardware integration are important. Internships or project work in robotics can also improve prospects for entry-level roles.
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Entry Level Google Robotics Engineer jobs near you
Infographic showing various Entry Level Google Robotics Engineer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Research Scientist, Robotics, DeepMind

Socket.dev

Cambridge, MA • On-site

$147 - $210/hr

Other

Posted 2 days ago

New

Job description

MINIMUM QUALIFICATIONS:
  • PhD degree in Computer Science, a related field, or equivalent practical experience.
  • Experience contributing to research communities or efforts, including publishing papers at conferences (e.g., NeurIPS, CoRL, ICML, ICLR).
  • Experience working with simulators and robots.
PREFERRED QUALIFICATIONS:
  • Experience training neural networks using large datasets or simulation to improve real robot behavior.
  • Experience in robot manipulation.
  • Experience with Python programming.
ABOUT THE JOB:

We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We’re looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people.

At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks.

In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini’s world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network.

These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google https://www.google.com/about/careers/applications/benefits/.

RESPONSIBILITIES:
  • Design, implement, train, and evaluate large models and algorithms for robotic agents to make breakthroughs and unlock new robot capabilities.
  • Write software to implement research ideas and iterate quickly.
  • Participate in a wide variety of research, including learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action (VLA) models, transformers, video generation, robot control, humanoid robots, and more.
  • Work effectively with a large collaborative team with changing agendas to meet ambitious research goals.
  • Generate creative ideas, set up experiments, and test hypotheses to report and present research findings clearly and efficiently both internally and externally.
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