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LG Electronics

Staff/Sr. Staff, Physical AI Researcher (LG Emerging Tech Lab)

Santa Clara, CA ; Santa Clara, CAHybrid · United States
Staff · Emerging Technology Department - E11002
POSTED 23 OCTVERIFIED 47M AGO
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Pay · posted
$200k–350k
Open for
11d
since 23 Oct
Hiring · 30d
130
+2 net · open roles

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.

The Opportunity

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. Based in Silicon Valley and New Jersey, we drive excellence across the CTO organization and LG’s business units by pioneering select emerging technology areas. As a Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships and deliver measurable business value.

About the Position – Physical AI Researcher

We are seeking an exceptional Physical AI researcher to help define the future of embodied intelligence at LG and shape our research and product roadmaps toward the vision of Zero-Labor Home.

This hybrid role, based at LG's Emerging Tech Lab in Santa Clara, CA, offers a unique opportunity to develop generalist robot intelligence and deploy it at scale in next-generation LG robot platforms. You will work at the frontier of embodied intelligence, leading research that can transition from breakthrough ideas to real-world products at global scale.

You will lead a growing team of Physical AI researchers and work closely with robotics and AI teams across LG to translate cutting-edge research into next-generation intelligent systems.

What You Will Do

  • Set the technical direction for LG’s Physical AI team, leading advanced research in multimodal robot foundation models and physical intelligence.
  • Lead and manage collaborations with LG HQ and third-party research labs to drive the technical integration of advanced robotics technologies into the LG ecosystem.
  • Build and influence a cross-functional Physical AI ecosystem, partnering with LG’s AI, robotics, software, and product teams as well as leading external research partners.
  • Define project scope, goals, and deliverables that align cutting-edge research with strategic business objectives.
  • Lead fundamental and applied research that advances the scientific and technological frontiers of physical intelligence, with a clear path toward real-world robotic systems.
  • Invent and improve paradigms for physical intelligence, including multimodal foundation models (images, video, text, tactile, etc.), world-action models, generalist dexterity, and agentic robot orchestration.

Why This Opportunity Is Unique

  • See your research move beyond the lab. Work at the intersection of frontier AI research and large-scale consumer deployment, where breakthroughs can transition rapidly from research into products.
  • Maintain a strong research presence while building real products, with support for research ownership, publication, and collaboration with leading universities and AI labs.
  • Engage with startups and industry collaborators to co-design hardware-software systems and validate them in real-world applications.

Required Qualifications

  • PhD in Computer Science, Robotics, Machine Learning, or a related technical field, with a strong publication record and 3+ years of industry experience.
Source · LG ElectronicsFirst seen 2 NovOriginal ↗