Sr. Staff Architect, Edge Centric AI

LG Electronics · South Bay

Company

LG Electronics

Location

South Bay

Type

Full Time

Job Description

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 Sr. Staff Architect, Edge Centric AI, located in Santa Clara, California. This is a hybrid position.

Our Emerging Technology team is looking for a Sr. Staff Architect, Edge Centric AI, to lead the development of hardware-software co-design for machine learning (ML), artificial intelligence (AI) accelerators and energy-efficient edge computing devices.

What You'll Do:

  • Grow and maintain relationships with internal and external stakeholders (AI teams, System IC team, edge SW team) to develop an innovative Edge-centric AI platform
  • Lead 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
  • Initiate 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

Minimum Qualifications:

  • M.Sc. degree program in Computer Science or Electrical Engineering with a specialization in Mathematics or Statistics with 10 years' experience or PhD degree in CS or EE with a specialization in, AI/ML, etc. with 7 years of experience

Skills We'd Like You To Have:

  • 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 team leading experience for both local and remote engineers
  • Collaboration experience with internal and external technical partners.
  • Excellent communication skills including effective presentation to Executives
  • You'll have demonstrated detailed knowledge and experience with high level language structure in C and/or C
  • 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.

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Date Posted

11/04/2023

Views

2

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