Technical Lead (Edge & Generative AI)

LG's Mission is to be #1 by creating a better life for our customers. At LG we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make “Life Good”! As a global leader, we strive for greatness not only in the products we make but in our people. That is why we are currently seeking the newest innovator to join our team as a Technical Lead , Edge Centric AI located in Santa Clara, California. This is a hybrid position.

Our Emerging Technology team is looking for a hands-on Technical Lead , Edge Centric AI to lead research and development of the latest Generative AI trends and the development of our Edge Centric AI products.

What You’ll Do:

• Oversee all on-device AI efforts and collaborate with HQ and LGE’s Toronto AI Lab for product level technical implementation on our products.
• Lead and contribute to the advanced research and development in the field of Generative AI.
• Grow and maintain relationships with internal and external stakeholders (AI teams, System IC teams, edge SW teams) to develop an innovative Edge-centric AI applications and platform
• Lead end-to-end on-device AI efforts from co-developing on-device AI application concepts to hardware-software co-design and architecture for machine learning (ML) and artificial intelligence (AI) accelerators and energy-efficient edge computing devices for next-generation home appliances and automotive and oversee the development, implementation, administration, monitoring and improvement of security, policies, programs, and protocols
• Work with leading academic or 3rd party company researchers to expedite edge-centric AI platform development
• Execute full software development life cycle (SDLC)
• Technically supervise various levels of team members by setting the tone for the team environment and providing individualized coaching, training and mentoring

Education and Skills We’d Like You To Have:

• M.Sc. degree program in Computer Science or Electrical Engineering with a specialization in Mathematics or Statistics with 8 + years of experience or PhD degree in CS or EE with a specialization in, AI/ML, etc. with 5 + years of experience
• Hands on experience delivering AI products in a technical leadership capacity
• Continued experience researching the latest Generative AI trends
• Experience with on-device IoT edge intelligence (tinyML and embedded AI)
• Expert-level knowledge of on-device AI model optimization and accelerators
• Deep understanding of System Architecture for energy-efficient edge AI
• Experience of hybrid architecture design to maximize edge processing and cloud computation
• Technical leadership experience for both local and remote engineers
• Experience and understanding of how to define and deliver GenAI products.
• Collaboration experience with internal and external technical partners.
• Excellent communication skills including effective presentation to Executives
• Experience working in agile environments with cross-functional delivery teams
• Detailed knowledge of system design and software development methodology and its application to overall system design

What We Can Offer You:

• Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach

At LG, we aspire to empower people and celebrate differences because we believe diversity will create the unexpected. We provide equal employment opportunities to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Consistent with our commitment to providing equal opportunity and embracing diversity, LG has implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.

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.