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Quest Global

Engineering services, digital transformation, asset management

Lead Hardware Validation Engineer: Coexistence - AI Glasses

Hardware Validation & TestingPosted on Nov 13
Full-timeKerala, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Electrical Engineering, Electronics and Communication, Computer Engineering, or equivalent practical experience.
  • At least 8 years of experience in hardware, system, or platform validation for consumer electronics, mobile, or wearable devices.
  • At least 3 years of experience leading engineers in a technical lead or people lead role.
  • Experience communicating directly with customers or external partners, presenting technical results, and handling escalations.
  • Practical knowledge of EMI/EMC, RF desense, signal integrity, and power integrity testing.
  • Expert use of lab equipment such as oscilloscopes, spectrum analyzers, power analyzers, signal generators, and protocol analyzers.
  • Python scripting for test automation and data analysis.
  • Hands-on experience using AI tools such as Claude, Claude Code, GitHub Copilot, ChatGPT, Cursor, or Gemini for scripting and log analysis.

Responsibilities

  • Lead the AI Glasses system coexistence validation team and set its technical direction, serving as the main technical contact for customers and cross-functional stakeholders.
  • Ensure that wearable-device subsystems, including camera, audio, Wi-Fi/Bluetooth, display, sensors, memory, and power, operate together without interference.
  • Lead a team of validation engineers by assigning work, setting priorities, reviewing output, and supporting their careers.
  • Plan team resources and staffing across programs and EVT, DVT, and PVT build phases.
  • Run team syncs, technical reviews, and knowledge-sharing sessions, and build a culture of ownership, technical rigor, and continuous improvement.
  • Help hire and onboard team members.
  • Communicate with customers, program managers, and engineering leadership about coexistence validation; present plans, status, risks, and results; translate customer requirements and feedback into strategies and test plans; manage expectations, escalations, and trade-offs on schedule, coverage, and quality; and prepare reports, executive summaries, and issue-closure documents.
  • Set coexistence validation strategy for AI Glasses programs and define aggressor/victim test matrices and real-use stress scenarios.
  • Oversee concurrency testing and logging of victim-subsystem metrics, including camera image quality, captouch false or missed touches, eMMC throughput and errors, RF sensitivity and desense, and audio noise floor.
  • Lead debugging and root-cause analysis of EMI, signal integrity, power integrity, thermal, and vibration issues with electrical engineering, RF, antenna, mechanical, firmware, and software teams.
  • Work with ODM and contract manufacturer partners on test setup, failure analysis, and design changes.
  • Review schematics and layouts to identify coexistence risks.
  • Lead use of AI tools including Claude, Claude Code, GitHub Copilot, ChatGPT, Cursor, and Gemini to write and debug test-automation scripts.
  • Lead AI-assisted analysis of device logs, including logcat, dmesg/kernel, firmware, and RF logs, to find failures, anomalies, and coexistence patterns.
  • Build AI-powered workflows to summarize test results, categorize failures, suggest likely root causes, and draft bug reports.
  • Set team standards for checking AI-generated output and responsible data handling.

Desired Qualifications

  • A Master's degree in Electrical Engineering or a related field.
  • Experience with wearables, AR/VR, smart glasses, or other small, highly integrated devices.
  • Familiarity with Wi-Fi, Bluetooth/BLE, GNSS, NFC, and coexistence among wireless technologies.
  • Knowledge of camera, audio, display, touch, and storage subsystems such as eMMC/UFS.
  • Experience with Android or Linux-based embedded platforms, ADB, and firmware debug tools.
  • Experience building custom LLM workflows through APIs such as Claude or OpenAI APIs, or using agent-style tools such as Claude Code or Cursor agent mode.
  • Experience leading teams across sites or time zones and managing ODM or vendor relationships through new product introduction.
  • Experience establishing validation processes, metrics, and dashboards for a team.

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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