Lead, Physical AI & Embodied Intelligence

LG Electronics R & D

Santa Clara (CA)

Hybrid

USD 200,000 - 350,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) plan
Paid time off
Short-term incentives
Mental health resources
Parental leave

Job summary

LG Electronics Emerging Technology Lab in Silicon Valley seeks a Staff/Senior Physical AI Researcher to shape embodied intelligence and drive innovations into LG robot platforms. Based in Santa Clara, this hybrid role leads a growing team of researchers advancing multimodal foundation models and real-world robotic systems.

You will collaborate across LG teams to define roadmaps, mentor researchers, and translate breakthroughs into scalable products, while fostering a vibrant, inclusive research

Qualifications

  • PhD in CS/Robotics with strong publication record and 3+ years of industry experience.
  • Expertise in robot foundation models and multimodal representation learning.
  • Hands-on experience with real robotic systems and sensors (RGB, depth, LiDAR).
  • Experience leading ambitious research projects in dynamic environments.
  • Experience with physics-based simulation platforms for large-scale data generation.

Responsibilities

  • Set technical direction for LG’s Physical AI team.
  • Coordinate collaborations with LG HQ and external labs.
  • Build cross-functional Physical AI ecosystem with AI, robotics, software, and product teams.
  • Define project scope, goals, and deliverables.

Skills

Robot research
Leadership
Communication
Multimodal learning

Education

PhD in CS/Robotics

Tools

PyBullet
MuJoCo
Isaac Sim

Job description

LG Electronics Emerging Technology Lab in Silicon Valley seeks a Staff/Senior Physical AI Researcher to shape embodied intelligence and drive innovations into LG robot platforms. Based in Santa Clara, this hybrid role leads a growing team of researchers advancing multimodal foundation models and real-world robotic systems.

You will collaborate across LG teams to define roadmaps, mentor researchers, and translate breakthroughs into scalable products, while fostering a vibrant, inclusive research

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