TL;DR
IP Design Verification Engineer (Embedded): Performing functional verification of Memory Controller IP logic for SoC designs with an accent on pre-silicon simulation, debugging, and coverage closure. Focus on developing robust verification strategies, mentoring local team members, and leveraging AI tools to enhance productivity and architectural quality.
Location: Must be based in or able to work on-site in Guadalajara, Mexico (Hybrid role).
Company
A global leader in silicon innovation, delivering computing and AI-accelerated solutions across general-purpose, HPC, and data center markets.
What you will do
- Lead verification efforts for Memory Controller IP by providing technical guidance to the local team.
- Develop and execute comprehensive verification plans, test benches, and simulation environments.
- Debug pre-silicon design issues, performing root-cause analysis and driving corrective actions.
- Collaborate with architects, RTL developers, and physical design teams on performance and timing analysis.
- Define and maintain verification infrastructure and methodologies to ensure high-quality, robust IP delivery.
- Utilize AI tools to enhance personal and team productivity.
Requirements
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
- 6 years of industry experience in digital IP or SoC functional verification.
- Strong background in developing verification plans and executing pre-silicon simulation.
- Advanced English proficiency required for documentation and communication.
- Must have unrestricted, permanent right to work in Mexico.
Nice to have
- Familiarity with memory protocols like DDR5, LPDDR6, or HBM4.
- Knowledge of SoC protocols such as DFI and AXI.
- Experience with system-level simulation and power/timing analysis.
- Demonstrated experience as a technical lead mentoring junior engineers.
Culture & Benefits
- Hybrid work model allowing for a flexible balance between on-site and off-site work.
- Opportunity to work on industry-leading data center and AI-accelerated products.
- Collaborative environment with cross-functional exposure across global engineering teams.
- Emphasis on continuous improvement, technical leadership, and professional growth.
