SoC/IP Design Verification Engineer

About This Role

• This position requires candidates to upload a resume in English; you are welcome to upload multiple versions of your resume if you prefer but an English version of your resume will be required to be considered for this position.
• We're looking for a hands-on SoC Design Verification Engineer to drive verification for complex SoC/IP blocks.
• You will own verification planning, UVM testbench development, test content creation (directed and constrained-random), coverage closure, and debug across block, subsystem, and SoC levels.
• You'll collaborate closely with design, architecture, firmware, and validation teams to deliver high-quality silicon on schedule.
• Key Responsibilities Own the verification lifecycle for one or more IPs/subsystems/SoC top-level features: requirements decomposition, test plan definition, coverage strategy, execution, and signoff.
• Architect and implement UVM environments (agents, drivers, monitors, sequencers, scoreboards, reference models), with scalable, reusable components.
• Develop test content: constrained-random sequences, scenario tests, stimulus libraries, checkers, and assertions.
• Debug failures quickly and methodically across simulation and emulation (waveforms, logs, assertions, checkers, reference model mismatches).
• Drive coverage closure (functional and code coverage): define, measure, analyze holes, and implement closure strategies.
• Leverage assertions (SVA) and formal where appropriate to strengthen verification quality and accelerate bug find.
• Integrate VIPs (e.g., AXI/ACE/PCIe/DDR) and coordinate with external/internal IP teams for models, checkers, and coverage.
• Collaborate cross-functionally with RTL design, architecture, DV, DFT, performance, firmware, and post-silicon validation to ensure feature completeness and testability.
• Continuously improve flows: contribute to methodology, regressions, CI/CD, and verification infrastructure (e.g., Makefiles, Python utilities, farm scripts).
• Document plans, environments, and results; present status, risks, and signoff evidence to stakeholders.
• Behavioral Traits Problem ‑ Solving Mindset: Approaches complex technical challenges with curiosity, creativity, and structured analytical thinking.
• Collaboration Skills: Works effectively with cross ‑ functional engineering teams, seeks input from partners, and communicates clearly in both technical and non ‑ technical contexts.
• Adaptability and Learning Agility: Quickly learns new tools, technologies, and methodologies; comfortable working in evolving development environments.
• Attention to Detail: Delivers high ‑ quality, reliable, and scalable software solutions with a focus on robustness, validation, and secure coding practices.
• Results ‑ Oriented: Prioritizes effectively, manages time well, and drives solutions to completion in a fast ‑ paced engineering environment.
• Innovation and Continuous Improvement: Looks for opportunities to optimize tools, simplify workflows, and introduce new methodologies that enhance engineering efficiency.