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AMD

Designs chips for computers and AI systems

Senior Staff Burn-In System Product Developer

Hardware Systems IntegrationConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • The candidate must have expertise in semiconductor burn-in, reliability engineering, and system architecture.
  • The candidate must have a proven track record of influencing suppliers, driving complex equipment development programs, managing technical escalations, and establishing strategic partnerships.
  • Semiconductor industry experience is required, including experience in Burn-In Engineering, Reliability Engineering, Product Engineering, Manufacturing Equipment Development, or System Development.
  • A Bachelor's or Master's degree in electrical engineering, electronics engineering, semiconductor engineering, or a related technical discipline is required.

Responsibilities

  • Define and drive burn-in system architecture for AMD packaged semiconductor products.
  • Develop scalable burn-in solutions for advanced package technologies, including chiplet-based architecture, 2.5D and 3D integration, and HBM-enabled devices.
  • Lead development of system-level burn-in infrastructure, including power delivery architecture, thermal management systems, burn-in boards and sockets, control and monitoring systems, and automation frameworks.
  • Drive vendor management and supplier effectiveness to facilitate first-time-right and reliable performance of AMD's burn-in solutions.
  • Collaborate with Reliability and Product Engineering teams to develop burn-in strategies supporting product qualification and production requirements.
  • Support New Product Introduction and manufacturing ramp activities.
  • Drive equipment evaluation, qualification, deployment, and continuous improvement initiatives.
  • Analyze burn-in effectiveness and optimize throughput, equipment utilization, reliability coverage, and overall cost of ownership.
  • Perform root cause analysis and corrective action implementation for burn-in-related hardware, system, and product issues.
  • Use predictive analytics to identify equipment degradation, process drift, and potential product reliability risks.
  • Build automated data pipelines and dashboards for monitoring burn-in performance and manufacturing metrics.
  • Apply machine learning techniques for anomaly detection, failure prediction, yield improvement, and predictive maintenance.
  • Evaluate opportunities to use generative AI technologies to accelerate engineering workflows, debug activities, and knowledge management.

Desired Qualifications

  • Strong communication and technical leadership skills.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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