Embodied AI Engineer

LG Electronics is hiring an Embodied AI Engineer (hybrid) in New York, NY to build deployable generalist robot intelligence through engineering infrastructure, data pipelines, and training and evaluation systems.

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 combining high-fidelity simulation, generative AI, teleoperation, and real-world data collection for 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

Requirements

• Bachelor’s degree with 5+ years relevant industry and/or research experience, or Master’s degree with 3+ years relevant industry and/or research experience in Computer Science, Mechanical Engineering, Electrical Engineering, or related technical fields
• Strong software engineering proficiency in Python or C++, with 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)
• Hands-on experience with one or more of the following: building data pipelines for robot learning (simulation, teleoperation, generative data augmentation)
• Hands-on experience with one or more of the following: developing and maintaining robot system infrastructure for robot manipulators or mobile robots, including RGB/Depth cameras and FT/tactile sensors
• Excellent written and verbal communication skills, able 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 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 including 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 for you and your 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 offered through partner agencies (Temporary/Contractors)

About the Team (LG Emerging Technology Lab)

• 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
• Acts as a Center of Excellence (CoE) to define and shape key technology domains, setting strategic directions and fostering internal and external partnerships to deliver measurable business value

Nice-to-Have

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

Compensation & Location

• Salary range: USD 150,000 - 210,000 per year (dependent on experience and location)
• Location: New York, NY (hybrid)

Accommodation Requests

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