| Location | Santa Clara, CA |
HIGHLIGHTSHybridFull-TimeEmerging Technology Department LOCATIONEnglewood Cliffs NJ Santa ClaraStep 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 Lifes 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 - LGs Emerging Technology LabLGs Emerging Technology Lab ETL is the catalyst for technological innovation within LGs 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 EngineerWe are seeking an exceptional Embodied AI Engineer to build the foundation of LGs 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 DoImplement debug and optimize model architectures VLA diffusionflow-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 LGs consumer ecosystem and contribute engineering input to technical roadmaps.Why This Opportunity Is UniqueOperate 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 QualificationsBachelors degree and 5 years of relevant industry andor research experience or Masters degree and 3 years of relevant industry andor 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 followingTraining and deploying Robot Foundation Models e.g. VLA diffusionflow-matching policies for manipulation or locomotionBuilding data pipelines for robot learning simulation teleoperation generative data augmentationDeveloping and maintaining robot system infrastructure for robot manipulators or mobile robots RGBDepth cameras FTtactile sensorsExcellent written and verbal communication skills with the ability to work closely with research scientists and translate ideas into shipped systems.Nice-to-HaveFamiliarity 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. ridRecruiting Range150000-210000 USDBenefits Offered Full-Time EmployeesNo-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 401k 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 TemporaryContractors Eligible for the relevant benefit programs offered through our partner agencies.Privacy Notice to California ApplicantsApplicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at 973-477-7090 orsupportlg4me.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.