Qualcomm
High-Bandwidth Memory (HBM) System Validation Lead (AI Accelerator Platform)
$174K–$262K
San Diego, California +1 · On-site · Full-time · Posted Oct 6, 2026
- Location
- San Diego, California
Austin, Texas - Experience
- 8+ years in memory validation, silicon validation, or platform bring-up. Minimum qualifications also state: bachelor's degree and 6+ years, master's degree and 5+ years, or PhD and 4+ years in ASIC design, verification, validation, integration, or related work.
- Education
- BS/MS/PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field; minimum qualifications specify a bachelor's, master's, or PhD in Science, Engineering, or a related field.
About the job
Leads end-to-end pre- and post-silicon validation of HBM subsystems for AI accelerator platforms, including bring-up, performance and reliability testing, debug, and production readiness.
What you'll do
- Define and lead HBM validation from emulation through production silicon, including initialization, training, power-state, reliability, recovery, and diagnostic testing.
- Validate HBM interactions with AI accelerators and system components; lead silicon debug and root-cause analysis.
- Develop validation automation, telemetry, analytics, and performance-monitoring tools, using AI-assisted methods to improve productivity and coverage.
What they ask for
- Strong understanding of DDR4/DDR5/LPDDR5/LPDDR6, HBM, memory controllers, PHY architectures, and cache/coherency systems.
- Experience with pre-silicon validation, FPGA platforms, and post-silicon bring-up.
- Strong debugging skills using logic analyzers, protocol analyzers, performance counters, and firmware traces.
- Programming experience in Python, C/C++.
Nice to have
- Experience with HBM2, HBM3, HBM3E, or advanced stacked-memory technologies; AI accelerator, GPU, HPC, or server-class platforms.
- Familiarity with NoCs, chiplets, coherent interconnects, SI/PI, thermal characterization, and package-level interactions.
Pay
$174,400.00 - $261,600.00 USD base salary
Tools
DDR4, DDR5, LPDDR5, LPDDR6, HBM, FPGA, Python, C/C++
AI focus
Use AI-assisted validation and debug methodologies to improve productivity and coverage for HBM validation.
Model-written summary · the original posting is authoritative