Samsung’s struggle to retain chip engineers is becoming an operational issue in the AI memory race, not merely a compensation dispute. MIT Technology Review reports that workers in Samsung’s loss-making foundry and System LSI operations are applying for openings at SK Hynix, whose high-bandwidth memory business has benefited directly from AI infrastructure demand.
The immediate contrast is compensation. Samsung’s May labor agreement dedicates 10.5% of semiconductor-business performance earnings to a special bonus pool, but payouts vary by division. Yonhap reported in early July that Samsung’s semiconductor employees were also set to receive first-half performance bonuses of up to 100% of base salary. That does little to resolve the disparity between profitable memory operations and teams attached to weaker businesses.
For engineers building logic chips or supporting Samsung Foundry, the issue is that their bonus is tied to a division that has remained unprofitable. MIT Technology Review reported projected payouts of roughly $135,000 for those workers, versus around $400,000 for Samsung memory employees and substantially larger cash-heavy profit-sharing awards at SK Hynix.

Scientists walk toward a futuristic tech campus between a factory, giant chip, satellite dish, and glowing data center.HBM leadership turns hiring into a competitive weapon​

SK Hynix has held the advantage in HBM, the stacked memory used alongside AI accelerators in servers and other high-performance systems. The company says it retained global HBM leadership through 2024 and 2025, and analysts still describe SK Hynix as the leading supplier going into the HBM4 transition.
That technology lead is now reinforcing its recruiting position. Korea JoongAng Daily reported in June that SK Hynix had opened mid-career recruitment for HBM-related positions that overlap with Samsung Foundry and System LSI engineering skills. MIT Technology Review’s reporting suggests the postings have become a focal point for Samsung employees frustrated by a bonus formula that rewards memory more richly than other chip units.
The significance is not that Samsung will suddenly lose its semiconductor workforce. It is that experienced process, packaging, and design engineers are difficult to replace at the pace required by an AI hardware cycle. Talent moving from a lagging rival to the HBM leader can compound an existing product and execution gap.

Why PC and enterprise buyers should care​

HBM does not sit inside a typical Windows PC, but it is a critical component in the GPUs and accelerators behind enterprise AI services, developer infrastructure, and cloud-hosted copilots. A tighter engineering market at Samsung could affect how quickly it can improve yields, qualify new HBM products, and broaden its supply position against SK Hynix and Micron.
For IT leaders, the practical concern remains supply concentration. If SK Hynix’s HBM advantage continues to attract Samsung talent while demand for AI accelerators stays high, enterprise buyers may face less flexibility in the memory supply chain behind the systems powering their AI workloads.
Samsung’s revised profit-sharing plan may ease labor pressure at the company’s most profitable memory units. The unresolved test is whether it can keep specialists in the foundry and logic-chip groups needed to turn its broader semiconductor ambitions into a credible recovery.

References​

  1. Primary source: MIT Technology Review
    Published: 2026-07-28T09:18:57+00:00
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