Qualcomm
GSoC Design Verification Engineer
$101K–$152K
San Diego, California · On-site · Full-time · Posted Sep 23, 2026
- Education
- Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or related field; minimum qualification also lists a bachelor's degree in Science, Engineering, or related field.
About the job
Verifies next-generation Data Center SoCs and develops AI agents and workflows to automate engineering tasks such as verification, regression management, debugging, and test planning.
What you'll do
- Develop verification plans, environments, tests, assertions, and coverage models for SoC, subsystem, and IP-level designs; debug issues and drive coverage closure.
- Collaborate with architecture, design, software, and verification teams to incorporate requirements early and support first-silicon success.
- Build AI-agent workflows, RAG pipelines, and tool integrations that automate engineering tasks and improve verification processes.
What they ask for
- Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or a related field; minimum qualification also states a bachelor's degree in Science, Engineering, or a related field.
- Strong knowledge of System Verilog, UVM, C, SVA, coverage-driven verification, and system-level use-case verification.
- Experience developing verification environments from architecture/specification through signoff and debugging complex SoC-level issues.
- Proficiency in Python or scripting languages for automation; strong computer architecture and digital design fundamentals.
Nice to have
- Full-chip or subsystem verification, or experience in one or more listed areas such as CPU, cache coherency, memory systems, protocols, accelerators, security, or power/performance verification.
- Portable Stimulus, formal verification, emulation, power-aware verification, machine learning/Generative AI, or LLM knowledge.
Pay
$101,400.00 - $152,200.00 USD base salary
Tools
System Verilog, UVM, C, SVA, Python, ACE, CHI, CXL
AI focus
Develop AI agents, agent workflows, engineering-tool integrations, and RAG pipelines for verification and other engineering tasks; contribute to AI-assisted verification and measure productivity improvements.
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