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Embodied AI Engineer

LG Electronics New York, NY

New York, NY

Today

$150k - $210k/yr Full time Artificial Intelligence Data Engineer Data Processing

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Job Description

LG Electronics is hiring an Embodied AI Engineer (New York, NY hybrid) to help translate embodied AI research into deployable generalist robot intelligence across next-generation home robot platforms.

Responsibilities

Implement, debug, and optimize model architectures including VLA, diffusion/flow-matching policies, and world models to move from prototype to reliable, 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 simulation, generative AI, teleoperation, and real-world data collection to support model training
Work directly 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

Requirements

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
Experience in Computer Science, Mechanical Engineering, Electrical Engineering, or a related technical field
Strong software engineering proficiency in Python or C++, including experience working across the full stack from data pipelines to deployed models
Hands-on experience with one or more of:
- Training and deploying Robot Foundation Models (e.g., VLA, diffusion/flow-matching policies for manipulation or locomotion)
Hands-on experience with one or more of:
- Building data pipelines for robot learning (simulation, teleoperation, generative data augmentation)
Hands-on experience with one or more of:
- Developing and maintaining robot system infrastructure for robot manipulators or mobile robots
- RGB/Depth cameras
- FT/tactile sensors
Excellent written and verbal communication skills, including the ability to work closely with research scientists and translate ideas into shipped systems

Technologies

Python, C++
VLA
diffusion/flow-matching policies
world models
Robot Foundation Models
RGB/Depth cameras
FT/tactile sensors
teleoperation, simulation
generative AI

Benefits

No-cost employee premiums for you and 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 including company holidays and a combined bank of paid sick and vacation time
Performance based Short-Term Incentives (varies by role)
Confidential mental health resources for you and loved ones, plus personal fitness goal incentives
Family oriented benefits including paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities
Group Rate Life and Disability Insurance
Eligible for relevant benefit programs through partner agencies (Temporary/Contractors)

About the Team

LG’s Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG’s CTO organization
Located in Silicon Valley and New Jersey
Drives excellence across CTO organizations and business units by pioneering in select emerging technology areas
As a Center of Excellence (CoE), defines and shapes key technology domains and sets strategic directions to foster impactful internal and external partnerships

Compensation

USD 150,000 - 210,000 per year
Compensation range depends on experience and location

Nice-to-Have

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

Applicants needing assistance or a reasonable accommodation during the hiring process may contact the team by phone at: 973-477: The email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.

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