Embodied AI Engineer

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., 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.

• 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.

parental leave, paid time off, 401(k), Please note: the compensation range is dependent on experience and location.

rid 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 investmentoptions.
• 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

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.