Qualcomm
Pre-Silicon Validation Engineer
$101K–$152K
San Diego, California +4 · On-site · Full-time · Posted Oct 15, 2026
- Location
- San Diego, California
Austin, Texas
Folsom, California
Hillsboro, Oregon
Santa Clara, California - Experience
- 0-2+ years in ASIC verification, FPGA prototyping, or hardware emulation.
- Education
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field; minimum qualifications also list a bachelor's degree in Science, Engineering, or a related field.
About the job
Develops and validates ASIC/FPGA-based designs by building emulation environments, debugging system-level issues, and enabling early hardware/software co-validation.
What you'll do
- Develop and maintain ASIC/FPGA emulation environments and port RTL designs to emulation or FPGA prototyping platforms.
- Build verification infrastructure and Python automation; analyze waveforms and debug functional, performance, and system-level issues.
- Collaborate across design and software teams, apply AI-assisted engineering tools, and document and present findings.
What they ask for
- Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field; the posting also lists a bachelor's degree in Science, Engineering, or a related field.
- Experience in ASIC verification, FPGA prototyping, or hardware emulation.
- Strong expertise in SystemVerilog, C/C++, Linux and shell scripting, Python, and ASIC/FPGA emulation platforms.
- Experience with RTL debugging, waveform analysis, and design verification; knowledge of SoC architectures, bus protocols, and hardware/software interactions.
Nice to have
- Experience with Cadence Palladium, Protium, Siemens Veloce, or Synopsys ZeBu; familiarity with Xilinx or Intel FPGA implementation flows.
- Exposure to AI/ML technologies or AI-powered engineering tools; knowledge of high-speed interfaces or cloud-based compute and large-scale regression management.
Pay
$101,400.00 - $152,200.00 USD base salary
Tools
SystemVerilog, C/C++, Linux, Python, Cadence Palladium, Siemens Veloce, Synopsys ZeBu, Xilinx
AI focus
Apply AI-assisted tools and techniques to accelerate verification, debug, data analysis, and engineering productivity; AI/ML exposure is preferred.
Model-written summary · the original posting is authoritative