CPU Data Engineer

Role Overview

The CPU Data Engineer is responsible for transforming complex design data specifications into structured, machine-readable formats to facilitate usability for verification, design, architecture, and documentation teams. This position focuses on ensuring data integrity and accessibility across various workflows by acting as a liaison between architecture/design teams and verification teams.

Position Summary

This role requires a strong analytical mindset and the ability to collaboratively communicate with diverse teams across different time zones. The successful candidate will have a passion for developing structured data representations and will tackle challenges with critical thinking and creativity.

Experience Level

Preferred candidates will have a solid foundation in hardware design and verification with specific experience in RTL, DV flows, and associated methodologies.

Key Responsibilities

• Analyze complex design specifications and extract necessary data for modeling and verification.
• Develop and maintain structured data representations, including XML schemas and relational databases.
• Collaborate with verification teams to ensure data compatibility with various verification tools and methodologies.
• Implement automation scripts for efficient data ingestion and validation processes.
• Maintain version control and data traceability across multiple projects.
• Work closely with architecture and RTL teams to capture and implement updates in data models.

Job Requirements

• Strong understanding of hardware design (RTL, DV flows).
• Proficiency in data modeling and databases (SQL, JSON).
• Experience with scripting languages (Python, Perl) for automation.
• Familiarity with AI tools for structured data representation.
• Experience in hardware description languages (Verilog/SystemVerilog) and Formal Verification tools.
• Excellent problem-solving skills and strong communication abilities for cross-functional collaboration.
• Knowledge of microprocessor architecture, particularly X86 or ARM architecture.
• Programming proficiency in C, C++, Python, Ruby, or Perl.

Education Requirements

Applicants should hold a BS, MS, or PhD degree in Electrical, Computer Engineering, or a related field of study.