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Embodied Ai Jobs (NOW HIRING)

General Motors

Senior Manager, Embodied AI

Sunnyvale, CA · On-site

$296K - $453K/yr

We are seeking an experienced and technically strong Senior Engineering Manager - AI/ML Engineering for the Data Foundations organization of Embodied AI. This role emphasizes day-to-day people ...

General Motors

Senior Manager, Embodied AI

Sunnyvale, CA · On-site +1

$296K - $453K/yr

We areseekingan experienced and technically strong SeniorEngineering Manager - AI/MLEngineeringforthe Data Foundations organization of Embodied AI. This role emphasizes daytodaypeoplemanagement ...

Intuitive

Staff AI/ML Architect, Embodied AI

Sunnyvale, CA

$74.75 - $96.25/hr

Foundation-model adaptation and fine-tuning for embodied robotics tasks. * Experience delivering AI/ML in a real-time, safety-critical domain. * Imitation learning, DAgger, and/or reinforcement ...

Intuitive

Staff AI/ML Architect, Embodied AI

Sunnyvale, CA · On-site

$74.75 - $96.25/hr

Foundation-model adaptation and fine-tuning for embodied robotics tasks. * Experience delivering AI/ML in a real-time, safety-critical domain. * Imitation learning, DAgger, and/or reinforcement ...

Figure

Helix AI Engineer, Generative AI

San Jose, CA · On-site

Our goal is to build embodied AI systems that can perceive, reason, and act in the real world. Figure is headquartered in San Jose, CA, and this role requires 5 days/week in-office collaboration. Our ...

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How much do embodied ai jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for embodied ai in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What is Embodied AI?

Embodied AI refers to artificial intelligence systems that are integrated into physical entities, such as robots, which can perceive, act, and interact with the real world. Unlike traditional AI, which operates purely in digital environments, Embodied AI enables machines to understand and respond to their surroundings through sensors and actuators. This field combines elements of robotics, computer vision, natural language processing, and machine learning to create agents that can learn from their experiences and adapt to new tasks. Embodied AI is used for applications like autonomous vehicles, service robots, and interactive agents.

What is the difference between Embodied Ai vs Robotics Engineer?

AspectEmbodied AiRobotics Engineer
Required CredentialsDegree in AI, Computer Science, or related fieldsDegree in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentResearch labs, AI development firms, tech companiesManufacturing plants, research labs, engineering firms
Industry UsageAI-driven applications, virtual agents, autonomous systemsPhysical robot design, automation, hardware integration
Common Search/ComparisonFocuses on AI embodiment in virtual or physical agentsFocuses on hardware and mechanical aspects of robots

Embodied Ai primarily involves developing AI systems that can operate within physical or virtual agents, emphasizing AI algorithms and interaction. Robotics Engineers focus on designing and building physical robots, integrating hardware and software. While both roles overlap in AI and robotics, Embodied Ai centers on AI behavior within agents, whereas Robotics Engineers work on the physical construction and mechanics of robots.

What are the key skills and qualifications needed to thrive as an Embodied AI Engineer, and why are they important?

To thrive as an Embodied AI Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages such as Python or C++. Familiarity with robotics middleware (like ROS), simulation tools (such as Gazebo or PyBullet), and relevant AI frameworks is typically required, along with advanced degrees in computer science or engineering often preferred. Creative problem-solving, teamwork, and effective communication are key soft skills that set candidates apart in this interdisciplinary field. These skills and qualities are essential for developing intelligent systems that can physically interact with the world and adapt to complex, real-world environments.

What are the common challenges faced by professionals working in Embodied AI roles?

Professionals in Embodied AI often encounter challenges related to integrating physical hardware with complex AI algorithms. This can include troubleshooting issues between sensors, actuators, and software to ensure smooth real-world operation. Additionally, working in multidisciplinary teams—combining robotics, computer vision, and machine learning—requires strong collaboration and communication skills. Staying up-to-date with rapid advancements and testing models in unpredictable, real-world environments are also key aspects of the role.
More about Embodied Ai jobs
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Embodied Ai jobs near you
Infographic showing various Embodied Ai job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Embodied AI Researcher (VLA Models)

Hyphen Connect Limited

Boston, MA

Other

Posted 9 days ago

Job description

We are seeking an innovative and experienced Embodied AI Researcher, focusing on the development and application of foundation models in robotics. The successful candidate will contribute to cutting-edge research, designing models and experiments that advance the field of robotics through deep learning and zero-shot generalization.

Responsibilities:

  • Train foundation models for robotics, utilizing architectures similar to RT-X.
  • Align text-based reasoning processes with low-level robotic control policies.
  • Design and conduct experiments to evaluate zero-shot generalization in robotic systems.
  • Collaborate with interdisciplinary teams to integrate AI models into practical robotic applications.
  • Document and present research findings at internal and external conferences.

Qualifications:

  • PhD or equivalent research experience in Deep Learning and Robotics.
  • Proven track record of publications in top-tier conferences such as CoRL, ICRA, and NeurIPS.
  • Practical experience with imitation learning and behavior cloning techniques.
  • Strong programming skills in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.

Apply