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FuriosaAI

Power-efficient AI inference accelerator chips

Hardware QA Engineer - System Level Mechanical and Environmental Testing

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSeoul, South KoreaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or higher in electrical or electronic engineering, computer science, semiconductor studies, or a related major.
  • At least 3 years of practical experience in Hardware QA, validation, or reliability.
  • Ability to plan and conduct system- and set-level hardware functional, reliability, and environmental evaluations.
  • Understanding of how PCB/PCBA, basic circuits, power, thermal conditions, and mechanical environments affect product operation.
  • Ability to use hardware validation equipment and analyze anomalies using test conditions and measurements.
  • Ability to translate product requirements into test plans and Pass/Fail criteria, and document results and failure reproduction conditions.
  • Ability to conduct root-cause analysis and verify improvements with development and manufacturing teams and suppliers.

Responsibilities

  • Review product specifications and quality requirements across development stages such as EVT, DVT, and PVT, and establish system- and set-level evaluation plans.
  • Define test configurations, samples, conditions, items, and Pass/Fail criteria; confirm that component- and board-level results remain valid at system level; and select additional validation for changed circuits, mechanical structures, or components.
  • Evaluate the functionality, performance, and long-duration stability of NPU accelerators and systems containing them.
  • Apply environmental conditions and operating loads, including temperature cycling, high- and low-temperature storage, temperature-humidity bias, and altitude testing.
  • Compare operation and performance before, during, and after stress testing, and investigate intermittent failures and thermal or power-related anomalies that occur only under environmental conditions.
  • Plan and conduct mechanical tests such as mechanical shock and vibration based on product assembly, transport, and usage conditions.
  • Use power cycling, burn-in, RDT, and ORT to identify failures that may occur during manufacturing or use; manage test conditions, sample histories, equipment settings, and results according to applicable standards and product requirements.
  • Compare failed samples' pre- and post-test conditions, logs, and measurement results, and investigate relevant areas including PCB/PCBA, NPU, and power circuits.
  • Use reproduction testing to narrow failure conditions and coordinate analysis such as X-ray, SAT, and cross-section analysis with specialist teams and suppliers as needed.
  • Review causes with design and manufacturing teams, carry out corrective and preventive actions, and revalidate modified products.
  • Use evaluation equipment and existing test programs to record environmental conditions and product-operation data together.
  • Provide software engineers with equipment interfaces, operating sequences, collected metrics, and judgment requirements when test automation is needed.
  • Produce hardware validation plans, reliability evaluation reports, and failure-analysis and improvement-validation results.

Desired Qualifications

  • Experience validating NPUs, GPUs, AI accelerators, or server hardware.
  • Experience with environmental and mechanical reliability evaluations based on JEDEC, IPC, or IEC standards.
  • Experience analyzing PCIe, power, and thermal interfaces and system-level issues.
  • Experience with PCB/PCBA failure analysis, manufacturing defect analysis, and mass-production quality improvement.
  • Experience using X-ray, SAT, and cross-section analysis techniques, or collaborating with specialist analysis teams.
  • Experience using Linux, Python, or shell for hardware debugging and test-automation tools.
  • Experience communicating technically with overseas manufacturing partners.

About the Company

FuriosaAI

Power-efficient AI inference accelerator chips

FuriosaAI develops AI accelerators for data centers. Its flagship RNGD chip is a power-efficient accelerator designed to boost performance per watt for running large language models and other demanding AI workloads. The hardware is configurable with multiple processing elements to fit different workloads, and it is paired with advanced compiler technology and profiling tools to identify bottlenecks and optimize efficiency. This combination of flexible hardware and software optimization differentiates FuriosaAI from competitors, focusing on maximizing performance while keeping energy use low. The company targets data centers and enterprises that need high-performance, energy-efficient AI solutions, and aims to make AI computing more sustainable and scalable by selling its chips and related software tools and pursuing long-term contracts with large-scale customers.

Company size
201-500
Company stage
Series D
Total funding
$880.8M
Headquarters
Seoul, South Korea
Founded
2017

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