Electronic Frontier Foundation
Electronic Frontier Foundation

60 Electronic Frontier Foundation Jobs Hiring Near You

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... This role will include a mix of rapid prototyping electronics for standing up new platforms and ...

At Scout, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Design rugged enclosures to house custom electronics - own the process from napkin sketch through ...

Electrical Engineer

Sunnyvale, CA · On-site

$130K - $280K/yr

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... This role will include a mix of rapid prototyping electronics for standing up new platforms and ...

Senior Electrical Engineer

Leander, TX · On-site

$102K - $133K/yr

As an Electrical Engineer, you'll help design, prototype, and deploy electronics for autonomous ... If you thrive on speed, grit, and purpose - welcome to the frontier. Why This Role Matters As an ...

Senior R&D Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Current Surgical is a startup company developing technology on the frontier of engineering and ... Our technology is backed by the National Institute of Health, National Science Foundation, and top ...

Head of Engineering

Redwood City, CA · On-site

$130 - $170/hr

Join us to shape the next frontier of AI-driven robotics! Dyna Robotics makes general-purpose ... foundation model that generalizes and self-improves across varied environments with commercial ...

Familiarity with electronics tools (crimpers, multimeters, oscilloscopes, soldering equipment ... the frontier of autonomous defense systems * Help build and deploy the first robotic foundation ...

Senior Embedded Software Engineer

Sunnyvale, CA · On-site

$145K - $190K/yr

At Scout AI, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Familiarity with basic electronics concepts (signals, timing, debugging) * Experience working with ...

Mechanical Engineer

Sunnyvale, CA · On-site

$110K - $205K/yr

At Scout, we're developing Fury, the first robotic foundation model for defense, to give U.S ... Design rugged enclosures to house custom electronics - own the process from napkin sketch through ...

Showing results 41-60

Embodied AI Engineer

LG Electronics

Englewood Cliffs, NJ • Hybrid

Full-time

Re-posted 8 days ago


LG Electronics rating

7.1

Company rating: 7.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

114th of 159 rated electronics manufacturers


Job description

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. 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 Engineer

We are seeking an exceptional Embodied AI Engineer to build the foundation of LG's 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 Do

  • Implement, debug, and optimize model architectures (VLA, diffusion/flow-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 LG's consumer ecosystem, and contribute engineering input to technical roadmaps.

Why This Opportunity Is Unique

  • Operate 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 Qualifications

  • 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, 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 following:
    • Training and deploying Robot Foundation Models (e.g., VLA, diffusion/flow-matching policies for manipulation or locomotion)
    • Building data pipelines for robot learning (simulation, teleoperation, generative data augmentation)
    • Developing and maintaining robot system infrastructure for robot manipulators or mobile robots, RGB/Depth cameras, FT/tactile sensors
  • Excellent written and verbal communication skills, with the ability to work closely with research scientists and translate ideas into shipped systems.

 

Nice-to-Have

  • Familiarity 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.

#LI-JH1  #LI-Hybrid


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