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LG Electronics
Santa Clara, CA
Source: LG Electronics careers · View original posting
From LG Electronics's posting. “We” and “our” refer to the employer.
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.
Founder-in-Residence, AI Ventures
LG NOVA, LG Electronics North America Innovation Center
You are not applying for a job. You are here to found LG's next company.
LG NOVA builds new ventures and spins them out as real businesses. We are looking for a small group of founders to validate and launch the next one, with LG's balance sheet, distribution, and government relationships behind them.
We are currently recruiting for our next Founder in Residence cohort, with the first 90-day validation sprint targeted to begin on October 12, 2026.
This is a founding seat, not an advisory one. If the venture proves out, you lead it as Founder and CEO.
The mandate is open on purpose. We are not handing you a problem to solve. The strongest ventures come from founders who already see something the market has missed, so we are domain agnostic by design. While we are domain agnostic, we are focused on AI-enabled software ventures with strong commercial potential
We are looking for candidates with deep, hands-on experience building at the core AI layer
, rather than primarily developing applications that consume third-party AI models. Ideal candidates have directly worked on the underlying AI lifecycle, including model training or fine-tuning, evaluation, deployment, inference, optimization, and production-scale operation.
Relevant experience may include model training infrastructure, inference and serving, model optimization, AI runtimes, agent infrastructure, orchestration, evaluation, observability, governance, data infrastructure, or AI-native developer platforms. Candidates should understand model and data pipelines, compute and performance trade-offs, production reliability, and the economics of operating AI systems at scale.
Strong preference will be given to candidates who have built reusable AI infrastructure, platforms, or developer tooling that can support multiple applications or enterprise customers, and who can translate deep technical capabilities into a differentiated, commercially viable B2B venture
Bring the problem you have unfair insight into, the buyers you already know, and the conviction that it should exist as a company. Every venture in this cohort is AI-native.
Please note: This is not an accelerator program. We are looking for candidates who want to build and validate a new venture from the ground up. If you already have an existing company or product that you are looking to advance through the program, this opportunity is not the right fit.
Who we are looking for You are a domain operator with deep access to the buyers in your space. You have built or commercialized something real and have experience raising funding rounds. People in your industry take your call. Maybe you founded before, maybe you raised before, maybe you ran a business line that behaved like a startup. You move fast when the path is unclear, and you close.
A live network of buyers and decision makers in your domain that you can leverage.
You get resources most early founders would fight for.
A concept testing budget so you can put real money behind proving demand
A de-risking idea to commercialization budget up to 500K, setting you up for Seed round.
You validate. We resource it.
How the program runs
The program runs in two sprints.
. You define a specific high value problem, identify the economic buyer, test willingness to pay, and generate hard evidence that a venture should exist. The point is proof, not a product.
You move from evidence to commercialization, early customers, and the foundation of a company. If the venture earns it, you become Founder and CEO of a new business built with LG behind you.
The Details
This is a contract, hybrid role based in Santa Clara, California.
The Founder in Residence program is designed as two consecutive sprints. Compensation is annualized and paid during each sprint as follows:
We are selecting a very small, highly selective founding cohort for this round, so the bar is high and the opportunity is significant. The Founder-in-Residence engagement is structured as a paid contract role during the venture validation and development phase.
If your venture is successfully spun out and you transition into the role of Founder & CEO, your executive compensation package—including salary, equity, and other compensation elements—will be negotiated separately as part of the new company's formation and financing.
We are building software solutions only, so no hardware and nothing capital intensive upfront. Every venture in this cohort is AI-native. The industry is yours to pick. For this cohort we are not considering health or clean tech (other verticals at LG NOVA), so if that is your space, this is not the cohort for it.
HOW TO APPLY
Your resume
, about one page, answering the three questions below in a few sentences each:
1) What experience have you had building?
Pick one venture, product, or business you personally helped build or commercialize. What was the problem, what did you own, and what were the measurable results such as revenue, customers, funding, or adoption?
2) What traction did you have?
Tell us about a time you found a real customer need, proved demand, and won early customers. What did you do, and what happened?
3) How do you move?
Give us one example of using your network to accelerate something, a key hire, a partnership, a customer relationship, or an industry connection that changed the outcome.
#LI-JH1 #HYBRID
Recruiting Range
$180,000 — $200,000 USD
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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