Senior Principal Storage Architecture Engineer
Solidigm
Senior Principal Storage Architecture Engineer
Solidigm
Designs and manufactures enterprise SSDs
We are seeking a Senior Principal Engineer focused on Storage Architecture to lead performance definition, analysis, and optimization across our next-generation Solid-State Drive (SSD) and System-on-Chip (SoC) platforms. This role will define and drive the architectural interface between SoC hardware, firmware, and NAND subsystems to deliver world-class storage performance across client, enterprise, and hyperscale markets. As a key technical leader in the SSD Architecture organization, you will collaborate with cross-functional teams— SoC, firmware, NAND technology, system validation, and product engineering — to innovate in the areas of latency, QoS, throughput, and power efficiency.
Key Responsibilities
Required:
Preferred:
Personal Attributes
The compensation range for this role is $200,960 - $334,100. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.
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Compensation: 200960 to 334100 (USD) (YEARLY)
Solidigm designs and manufactures NAND flash memory and enterprise SSDs for data centers, cloud, and AI workloads. Its product line includes high-density QLC drives and liquid-cooled eSSDs for fanless GPU servers, plus software like CSAL (Cloud Storage Acceleration Layer) and the Luceta AI vision software suite. It operates as a standalone subsidiary within SK hynix, with R&D in Rancho Cordova, and serves enterprises, cloud providers, data-center operators, and storage solution providers. Unlike many rivals, Solidigm combines a broad range of form factors and capacities with open-source storage acceleration software and AI-focused tooling, supported by a corporate structure that aligns with SK hynix’s AI investment strategy. The goal is to provide reliable, scalable storage solutions for data centers, cloud infrastructure, AI infrastructure, and edge deployments, helping customers store and access large amounts of data efficiently.
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