HBM System Validation Lead for AI Compute Platforms

Qualcomm; Austin (TX); Presencial; USD 174.000 - 262.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Tailored benefits package

Descripción de la vacante

Qualcomm Technologies, Inc. seeks an experienced Memory System Validation lead to define and execute validation strategies for high-bandwidth memory subsystems integrated with AI compute platforms.

You will lead pre-silicon and post-silicon validation of next-generation stacked memory solutions, driving memory bring-up, performance characterization, stress validation, reliability analysis, debug, and production readiness across the product lifecycle.

Formación

• 6+ years in ASIC memory validation, silicon validation, or platform bring-up.
• Strong knowledge of DDR4/DDR5, LPDDR5/LPDDR6, HBM, memory controllers and PHY architectures.
• Experience with pre-silicon validation and post-silicon bring-up.
• Proficient in Python and C/C++.
• Excellent debugging using logic and protocol analyzers and firmware traces.
• Ability to develop scalable memory validation frameworks.

Responsabilidades

• Own end-to-end memory validation strategy from emulation through production silicon.
• Develop validation plans covering memory initialization, training flows, power-state transitions, reliability testing, and error recovery.
• Lead system-level validation of interactions among HBM, AI accelerators, compute fabrics, and NoC.
• Build scalable automation frameworks and telemetry for memory validation and debugging.

Conocimientos

Python

C/C++

Debugging

System validation

Educación

BS/MS/PhD in Electrical Engineering

Herramientas

FPGA platforms

Logic analyzers

Descripción del empleo

Qualcomm Technologies, Inc. seeks an experienced Memory System Validation lead to define and execute validation strategies for high-bandwidth memory subsystems integrated with AI compute platforms.

You will lead pre-silicon and post-silicon validation of next-generation stacked memory solutions, driving memory bring-up, performance characterization, stress validation, reliability analysis, debug, and production readiness across the product lifecycle.