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Embodied Ai Jobs (NOW HIRING)

LG Electronics

Embodied AI Researcher

Englewood Cliffs, NJ · Hybrid

$150K - $210K/yr

About the Position - Embodied AI Researcher We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero-labor Home . This hybrid role offers a unique opportunity to ...

LG Electronics

Embodied AI Researcher

Englewood Cliffs, NJ · On-site

$150K - $210K/yr

About the Position - Embodied AI Researcher We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero-labor Home. This hybrid role offers a unique opportunity to ...

Formic

Embodied AI / Simulation Engineer

Oakland, CA · On-site

As an Embodied AI / Simulation Engineer, you will design and train learning-based manipulation systems, develop high-fidelity digital twins, and work with modern foundation models for robotics to ...

Glidance

Head of Embodied Intelligence

Seattle, WA · On-site

Glidance is creating the future of personal robotics through advanced AI and robotics technology. The Head of Embodied Intelligence will define the architecture and research direction for autonomous ...

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How much do embodied ai jobs pay per hour?

As of Jun 7, 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.
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Embodied Ai jobs near you
Infographic showing various Embodied Ai job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.
Embodied AI Researcher

Embodied AI Researcher

LG Electronics

Englewood Cliffs, NJ • Hybrid

$150K - $210K/yr

Other

Posted yesterday

LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

74th of 139 rated electronics manufacturers

Job description

About the Team - LG's Emerging Technology Lab

LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG's CTO organization. Located in the Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value.

About the Position - Embodied AI Researcher

We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero-labor Home. This hybrid role offers a unique opportunity to develop generalist robot intelligence and deploy it at scale in next-generation LG home robot platforms. You will work at the frontier of embodied intelligence while seeing your research transition into real-world products used by millions.

What You Will Do:

  • Conduct fundamental and applied research to advance the state of the art in Embodied AI, with the support to publish at top-tier conferences and contribute to the broader scientific community.
  • Develop next-generation Robot Foundation Models to advance robot capabilities such as 3D spatial reasoning, dexterous manipulation, zero-shot task generalization, long-horizon planning, and safe human-robot interaction.
  • Train multimodal models that integrate vision, language, tactile sensing, and proprioception to achieve robust real-world performance.
  • Architect scalable data pipelines that combine high-fidelity simulation, generative AI, and real-world data collection to fuel large-scale model training.
  • Collaborate with global research teams and hardware partners to integrate embodied AI technologies into LG's consumer ecosystem.
  • Contribute to defining technical strategy and long-term research roadmaps that shape LG's embodied AI initiatives.

Why This Opportunity Is Unique:

  • Operate at the intersection of frontier AI research and large-scale consumer deployment, where breakthroughs transition rapidly from papers to products.
  • Enjoy strong support for research ownership and collaboration, including the opportunity to work and publish with leading universities and AI labs.
  • Engage with startups and industry collaborators to co-design hardware-software systems and validate them in real-world applications.

Expected Qualifications:

  • PhD in Computer Science, Robotics, Machine Learning, or a related technical field with a strong publication record (or Master's degree with 3+ years of equivalent research or industry experience demonstrating comparable impact).
  • Deep research and engineering expertise in one or more of the following areas:
    • Robot Foundation Models (e.g., VLA, LBM, Diffusion/Flow Matching for manipulation and locomotion),
    • World Model training for robot action prediction,
    • Spatial Intelligence (self-supervised visual foundation models, 3D scene reconstruction, embodied scene understanding),
    • Multimodal representation learning across vision, language, and tactile
    • Learning from human demonstrations and self play.
  • Excellent written and verbal communication skills, with the ability to clearly articulate complex technical ideas across research and engineering teams.
  • Proven ability to work independently and independently drive technically ambitious research projects in dynamic and fast-moving environments.

Nice-to-have:

  • Hands-on experience with robot HW systems, including manipulators or mobile robots, and sensors such as RGB/Depth cameras and FT/Tactile sensors.
  • Experience with physics-based simulation platforms (e.g., PyBullet, MuJoCo, Isaac Sim) for large-scale data generation, experimentation, and evaluation.

Compensation: the base salary range is between $150k-$210k, depending on experience and location. Additional compensation incentives are also included.

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