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Quest Global

Engineering services, digital transformation, asset management

Technical Lead Engineer for AI Agent Project

Engineering ManagementUpdated on Nov 8
Full-timeHachioji, Tokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience in automotive ECU development.
  • At least 3 years of experience developing services and applications using artificial intelligence and machine learning.
  • Development experience with cloud, servers, or infrastructure.
  • Development experience with telecommunication control units, wireless communications, or protocols.
  • Strong analytical, technical leadership, and stakeholder management skills.
  • Ability to drive projects forward by engaging relevant stakeholders.
  • Strong communication skills to align with stakeholders in different roles.
  • Native Japanese proficiency or Japanese-Language Proficiency Test N2 or above.
  • Beginner-level English is acceptable, with a TOEIC score above 600.

Responsibilities

  • Lead technical delivery for new OEM AI Agent service and application development projects.
  • Participate in planning AI Agent services and applications.
  • Lead technical alignment within the OEM, including its ECU, software, planning, and legal departments, and with external ECU suppliers, software vendors, and cloud/server vendors.
  • Determine technical direction in consultation with Quest Global experts.

Desired Qualifications

  • Knowledge of and experience with functional safety.
  • Knowledge of and experience with cybersecurity.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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