Qualcomm
System Validation Lead, Staff (AI Accelerator Platform)
$146K–$218K
San Diego, California +4 · On-site · Staff · Full-time · Posted Oct 16, 2026
- Location
- San Diego, California
Austin, Texas
Folsom, California
Hillsboro, Oregon
Santa Clara, California - Experience
- 8+ years in silicon validation or platform bring-up. The posting also lists alternative minimums: bachelor’s degree and 4+ years, master’s degree and 3+ years, or PhD and 2+ years in ASIC design, verification, validation, integration, or related work.
- Education
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field; alternatively, the minimum qualifications specify a bachelor's, master's, or PhD in Science, Engineering, or related field.
About the job
Leads end-to-end system-level validation strategy, test development, debugging, and execution for Qualcomm’s AI accelerator platform across emulation and silicon phases.
What you'll do
- Define, develop, and optimize system-level validation tests, including tests for multi-processor concurrency.
- Develop bare-metal software and low-level hardware interfaces; debug SoCs and support pre- and post-silicon validation.
- Lead cross-functional validation work and coordinate with teams to deliver comprehensive coverage and product execution.
What they ask for
- 8+ years of experience in silicon validation or platform bring-up.
- Strong understanding of operating systems concepts, caching, virtual memory, and embedded software fundamentals.
- Experience with bare-metal software development and low-level hardware interfaces; programming in C and Assembly language.
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Nice to have
- Experience developing and applying machine learning models for system validation.
- Familiarity with reading RTL code such as Verilog or VHDL and applying that knowledge to silicon validation.
Pay
$145,600.00 - $218,400.00 USD base salary
Tools
C, Assembly language, Python, Linux shell, Verilog, VHDL, FPGAs
AI focus
System validation for an AI accelerator platform; preferred experience includes developing and applying machine learning models for system validation.
Model-written summary · the original posting is authoritative