Solidigm

Senior Principal Storage Architecture Engineer

Rancho Cordova, CA, United States · Principal

Sponsorship not specified$201k-$334kDetected 25 days ago

AlgorithmsMachine LearningElectrical EngineeringLeadershipMentoring

About the role

Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up.
In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas.
We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization.

Architect and model SoC-to-FW interface to optimize data paths, command handling, and quality-of-service mechanisms.
Develop and refine system-level performance models (simulation and analytical) to predict SSD behavior under real-world workloads.
Lead bottleneck analysis and performance triage across hardware, firmware, and NAND media layers.
Partner with SoC design teams to define DMA, interrupt, queue, and cache architectures supporting high-performance I/O.
Collaborate with FW teams to define command flows, queue management, and scheduling algorithms aligned with architectural intent.
Drive performance validation methodologies, tools, and correlation between simulation and silicon.
Proven ability to lead cross-functional technical efforts and communicate effectively with executives and engineering teams.

M.S. or Ph.D. in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).
10+ years of experience in SSD, SoC, or storage system architecture, with proven leadership in performance design and analysis.
Deep understanding of SoC microarchitecture, including CPU subsystems, DMA, cache hierarchy, memory controllers, and QoS mechanisms.
Experience with ARM cores or alternatives (RISC V) preferred.
Expertise in SSD firmware and hardware interactions, command processing pipelines, and NAND flash translation layers.
Strong proficiency in performance modeling, profiling, and analysis tools.
Solid knowledge of PCIe/NVMe protocol stack and host-storage interface behavior.
Demonstrated experience identifying and resolving system-level bottlenecks across SoC and firmware layers.

Familiarity with machine learning-based performance prediction or workload characterization.

This listing is sourced directly from Solidigm's careers page and normalized into a canonical job model.