Staff Engineer, AI Platform Enablement and Emerging Applications - San Jose, California, United States

Originally posted 15 September 2026 by the employer — open 3 days.

About the role

What you'll do

• Lead SSD enablement and qualification for NVIDIA, AMD, and other strategic AI/compute platforms from early engagement to production readiness.
• Own SSD sample planning, allocation, qualification schedules, validation milestones, issue tracking, and launch readiness for major platform NPI programs.
• Coordinate system-level testing and drive cross-functional resolution of SSD, PCIe/NVMe, firmware, thermal, power, performance, and interoperability issues.
• Capture and communicate platform-specific requirements, validation criteria, and design constraints to internal product and engineering organizations.
• Identify emerging AI storage workloads and applications, evaluate technical requirements, and drive feasibility studies, benchmarking, and proof-of-concept activities.
• Explore new storage opportunities related to AI inference, KV cache, context storage, memory extension, checkpointing, and GPU-direct I/O.

What you'll need

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field with 10+ years experience; or Master’s degree with 8+ years experience; or PhD with 5+ years experience.
• Minimum of 5+ years of experience in enterprise SSD, server platform, storage system, semiconductor, or data center infrastructure engineering.
• Demonstrated experience supporting server, accelerator, or data center platform qualification and NPI programs.
• Strong technical understanding of enterprise SSDs, PCIe, NVMe, server architecture, firmware, performance, power, thermal behavior, and system-level interoperability.
• Working knowledge of modern AI and hyperscale infrastructure, including GPU-based systems, high-performance networking, PCIe switches/retimers, and local NVMe storage.
• Proven ability to investigate and coordinate resolution of complex system-level issues across hardware, firmware, software, and platform boundaries.

Skills: SSD enablement, AI compute platforms, system validation, PCIe/NVMe, GPU-direct I/O