Qualcomm
SoC Clock & Power Management 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
- 5+ years of relevant experience; minimum qualifications alternatively specify 4+ years with a bachelor’s degree, 3+ with a master’s, or 2+ with a PhD.
- Education
- Bachelor’s degree in engineering or related field; minimum qualifications also list a bachelor’s, master’s, or PhD in Science, Engineering, or related field.
About the job
Leads end-to-end pre- and post-silicon validation of clock, power, reset, and power-management architectures for AI accelerator SoCs, including test development, automation, bring-up, and issue debugging.
What you'll do
- Plan, document, review, and execute bare-metal validation for clock and power architectures across standalone and system-level scenarios.
- Develop C drivers and tests, and automate validation workflows using Python, Perl, and shell.
- Debug pre- and post-silicon issues, guide root-cause analysis, and support power-subsystem bring-up and production readiness.
What they ask for
- Bachelor’s degree in engineering or related field, or the stated alternative degree and experience combinations.
- 5+ years of relevant SoC validation or associated experience; the minimum qualifications also state 4+ years with a bachelor’s, 3+ with a master’s, or 2+ with a PhD.
- Prior work experience in clock/power validation.
- Proficiency in C and Python; experience with lab instruments and exposure to debug tools such as JTAG.
Nice to have
- Experience with cross-compilers, linkers, and makefiles; understanding of coherency and concurrency in modern SoCs.
- Knowledge of PMIC and rail-power validation, FPGA-based emulation, or RTL/HDLs such as Verilog/System Verilog.
Pay
$145,600.00 - $218,400.00 USD base salary
Tools
C, Python, Perl, shell, JTAG, ARM, Verilog, System Verilog
AI focus
Validates clock, power, reset, and power-management systems for AI accelerator platforms, including operation under AI training and inference workloads.
Model-written summary · the original posting is authoritative