Design Verification Engineer
Solidigm
Design Verification Engineer
Solidigm
Designs and manufactures enterprise SSDs
This role is responsible for pre-silicon verification of advanced 3D NAND designs, including UVM-based verification, functional coverage, assertions, mixed-signal modeling and simulation, debugging, and verification-flow automation.
Key responsibilities
This position is also eligible to participate in Solidigm's restricted stock unit (RSU), restricted cash unit (RCU), and cash bonus programs. In addition, Solidigm offers a benefits package that includes medical, dental, vision, supplemental life and AD&D insurance; short- and long-term disability; healthcare and dependent care flexible spending accounts, and a company match on eligible 401(k) plan contributions.
The compensation range for this role is $121,280- $194,100. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.
This is a Hybrid role reporting out of Rancho Cordova, California 3 days per week.
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Compensation: 121280 to 194100 (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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