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Embodied Ai Jobs (NOW HIRING)

Embodied AI Engineer

Englewood Cliffs, NJ · On-site

$150K - $210K/yr

About the Position - Embodied AI Engineer We are seeking an exceptional Embodied AI Engineer to build the foundation of LG's vision of the Zero-labor Home. This hybrid role offers a unique ...

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How much do embodied ai jobs pay per hour?

As of Jul 31, 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
What cities are hiring for Embodied Ai jobs? Cities with the most Embodied Ai job openings:
What states have the most Embodied Ai jobs? States with the most job openings for Embodied Ai jobs include:
Infographic showing various Embodied Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $122,123 per year, or $58.7 per hour.

Embodied AI Engineer

LG Electronics

Englewood Cliffs, NJ • On-site

$150K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


LG Electronics rating

7.1

Company rating: 7.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

113th of 156 rated electronics manufacturers


Job description

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
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 Engineer
We are seeking an exceptional Embodied AI Engineer to build the foundation of LG's vision of the Zero-labor Home. This hybrid role offers a unique opportunity to design, build, and scale the technology and tooling that turn generalist robot intelligence into deployable capability on next-generation LG home robot platforms. You will work at the frontier of embodied AI engineering, building the infrastructure, pipelines, and training systems that let research ideas run at scale and ship into real products used by millions.
What You Will Do
  • Implement, debug, and optimize model architectures (VLA, diffusion/flow-matching policies, world models) taking them from prototype to reliable and reproducible systems.
  • Build and maintain scalable training and evaluation infrastructure for Robot Foundation Models and on-robot deployment stacks.
  • Architect and operate large-scale data pipelines that combine high-fidelity simulation, generative AI, teleoperation, and real-world data collection to fuel model training.
  • Work hands-on with robot hardware to bring up new platforms, debug real-world failures, and close the loop between simulation and deployment.
  • Collaborate with global research teams and hardware partners to integrate embodied AI systems into LG's consumer ecosystem, and contribute engineering input to technical roadmaps.

Why This Opportunity Is Unique
  • Operate at the intersection of frontier AI research and large-scale consumer deployment, where systems you build carry algorithms directly from prototype to product.
  • Take ownership of core infrastructure and tooling that the broader research org depends on and contribute with measurable impact.
  • Engage with leading industry, university, and startup teams to co-develop hardware-software systems and validate them in real-world conditions.

Expected Qualifications
  • Bachelor's degree and 5+ years of relevant industry and/or research experience, or Master's degree and 3+ years of relevant industry and/or research experience, in Computer Science, Mechanical Engineering, Electrical Engineering, or a related technical field. PhD preferred but not required.
  • Strong software engineering proficiency in Python or C++, experience working across the full stack from data pipeline to deployed model.
  • Hands-on experience with one or more of the following:
    • Training and deploying Robot Foundation Models (e.g., VLA, diffusion/flow-matching policies for manipulation or locomotion)
    • Building data pipelines for robot learning (simulation, teleoperation, generative data augmentation)
    • Developing and maintaining robot system infrastructure for robot manipulators or mobile robots, RGB/Depth cameras, FT/tactile sensors
  • Excellent written and verbal communication skills, with the ability to work closely with research scientists and translate ideas into shipped systems.

Nice-to-Have
  • Familiarity with the robot learning research literature (world models, spatial intelligence, learning from demonstration) sufficient to collaborate closely on architecture decisions.
  • Contributions to open-source robotics or ML infrastructure tooling.

Please note: the compensation range is dependent on experience and location.
#LI-JH1 #LI-Hybrid
Recruiting Range
$150,000-$210,000 USD
Benefits Offered Full-Time Employees:
  • No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
  • Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
  • Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
  • Performance based Short-Term Incentives (varies by role).
  • Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
  • Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
  • Group Rate Life and Disability Insurance.

Benefits Offered Temporary/Contractors:
  • Eligible for the relevant benefit programs offered through our partner agencies.

Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.

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