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Lumotive

Develops solid-state lidar sensors using metamaterials

Hardware Reliability Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeRedmond, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in electrical engineering, optical engineering, physics, or a related technical field is required.
  • At least 5 years of hands-on industry experience in hardware reliability engineering for complex electronic or optoelectronic hardware at the module or system level.
  • Hands-on experience planning, setting up, and executing hardware reliability tests, including environmental stress, accelerated life, and mechanical testing.
  • Experience writing failure analysis reports and driving corrective and preventive action (CAPA) and 8D processes to closure.
  • Experience with design and/or process failure modes and effects analyses (FMEAs), reliability risk assessments, and product reliability and quality specifications.
  • Experience providing design for manufacturing (DFM), design for assembly (DFA), and design for test (DFT) feedback during hardware design reviews.
  • Experience owning manufacturing quality processes for prototype or new product introduction (NPI) hardware builds, including workmanship standards, in-process inspection, and nonconformance management.
  • Experience with statistical reliability data analysis, lifetime data analysis, mean time between failures (MTBF) and failure-in-time (FIT) estimation, and highly accelerated life testing (HALT) methodology.
  • Experience managing quality processes at contract manufacturers or external partners.
  • Working knowledge of module- and system-level reliability and quality standards, such as JEDEC JESD22, ISO 16750, IEC 60068, or AEC-Q102/Q104.

Responsibilities

  • Develop, set up, and execute reliability test plans for lidar modules and systems, including environmental stress tests (temperature cycling, thermal shock, and humidity), accelerated life testing, and mechanical shock and vibration.
  • Analyze test data, identify failure mechanisms, and author reliability assessment reports with quantitative findings and clear recommendations.
  • Own the reliability and quality sections of product requirements documents; define reliability targets, qualification test requirements, and acceptance criteria.
  • Represent system reliability, quality, and manufacturability in hardware design reviews and product performance reviews; identify risk early and drive design changes that improve robustness and reduce manufacturing complexity.
  • Own reliability risk assessment for lidar modules and systems throughout the product development lifecycle, from concept through qualification; lead design and process FMEAs and track risk-mitigation actions to closure in collaboration with cross-functional engineering teams.
  • Own manufacturing quality and reliability processes for in-house prototype builds and NPI builds at contract manufacturers. Define workmanship acceptance criteria, drive nonconformance resolution, and maintain quality records and trend data across build iterations.
  • Perform failure analysis on defective units, engineering test escapes, and customer-returned units using in-house tools and third-party test labs; define the scope and technically direct external test labs for advanced failure analysis.
  • Author customer-facing failure analysis reports and drive CAPA/8D to closure.

Desired Qualifications

  • A master's degree is preferred.
  • Experience with lidar, optical sensing, or photonics hardware development is a plus.

About the Company

Lumotive

Develops solid-state lidar sensors using metamaterials

Lumotive makes solid-state lidar sensors using Light Control Metasurfaces to sense 3D space. It uses metamaterials to steer laser beams digitally, with no moving parts, delivering fast, wide-angle scans and durable performance. The sensors are tailored for automotive ADAS and autonomous-vehicle needs as well as smart-city uses like real-time traffic monitoring. Its goal is to provide dependable, scalable, and cost-effective 3D sensing for cars and urban environments.

Company size
51-200
Company stage
Series B
Total funding
$72M
Headquarters
Redmond, WA
Founded
2018

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