GSoC Design Verification Engineer

Qualcomm•San Diego, CA
•$101,400 - $152,200

About The Position

Qualcomm Technologies, Inc. is seeking highly motivated new college graduates and experienced Design Verification Engineers to join their GSoC Design Verification team. This role involves verifying next-generation Data Center SoCs that power AI, high-performance computing, mobile, and cloud infrastructure products. The engineer will collaborate with architects, design engineers, software teams, and verification specialists to develop scalable verification solutions, ensure verification closure, and support first-silicon success for complex SoC designs. The position offers the opportunity to work with advanced technologies such as multi-core CPUs, cache coherency systems, memory subsystems, AI/ML accelerators, high-speed interconnects, security, and modern SoC architecture. The role also includes building AI-powered intelligent agents to assist engineers in areas like Design Verification, regression management, debug automation, test planning, and design analysis.

Requirements

  • Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or related field.
  • Strong knowledge of: System Verilog, UVM, C, Assertion-Based Verification (SVA), Coverage-Driven Verification, System level Use case verification
  • Experience developing verification environments from architecture/specification through signoff.
  • Strong understanding of computer architecture and digital design fundamentals.
  • Experience debugging complex SoC-level issues.
  • Strong problem-solving and analytical skills.
  • Proficiency in Python or scripting languages for automation.
  • AI-assisted verification of workflows and test generation.
  • Excellent communication and collaboration skills.
  • Bachelor's degree in Science, Engineering, or related field.

Nice To Haves

  • Experience in full-chip or subsystem verification environments.
  • Experience with one or more of the following: CPU verification, Cache coherency protocols (ACE, CHI, CXL), DDR or HBM memory systems, PCIe, Ethernet, or networking protocols, AI/ML accelerator design verification, Security and RAS feature verification, System Power and Performance verification.
  • Experience with: Portable Stimulus (PSS), Formal Verification, Emulation platforms (Veloce/Palladium/ZeBu), Power-aware verification.
  • Understanding of machine learning and Generative AI concepts.
  • Knowledge of LLMs such as GPT, Claude, Llama, or equivalent models.

Responsibilities

  • Develop and execute comprehensive verification plans for SoC, subsystem, and IP-level features.
  • Design and implement scalable System Verilog/UVM-based and Processor-based verification environments.
  • Create directed and constrained-random test scenarios to validate functionality and architectural use cases.
  • Develop assertions, functional coverage models, and checkers.
  • Debug RTL, testbench, and integration issues and work closely with design teams to resolve defects.
  • Drive coverage closure using functional and code coverage metrics.
  • Participate in architecture and design reviews to ensure verification requirements are incorporated early in the development cycle.
  • Verify complex Data Center SoC features.
  • Support emulation and acceleration-based verification when required.
  • Contribute to methodology improvements, automation, reusable verification components, and AI-assisted verification flows.
  • Develop AI agents that automate engineering tasks across domains workflows.
  • Build agent workflows using modern LLM frameworks and agent orchestration platforms.
  • Create integrations between AI systems and engineering tools, databases, and knowledge repositories.
  • Develop Retrieval Augmented Generation (RAG) pipelines for system documentation, specifications, and engineering knowledge.
  • Collaborate with RTL, DV, CAD, and AI platform teams to identify automation opportunities.
  • Measure and track productivity improvements delivered through AI-enabled workflows.
  • Contribute to internal AI platforms, reusable skills, tools, and agent libraries.

Benefits

  • Competitive annual discretionary bonus program
  • Opportunity for annual RSU grants
  • Highly competitive benefits package designed to support your success at work, at home, and at play.
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