Post Silicon Validation Engineer II (PCIe/Ethernet)

TL;DR

Post Silicon Validation Engineer II (PCIe/Ethernet): Supporting post-silicon bring-up and characterization of high-performance IP solutions with an accent on test methodology development and silicon evaluation in lab environments. Focus on automating test infrastructure using Python and collaborating with design teams to validate silicon against industry standards.

Location: Cary, USA (Onsite)

Company

hirify.global is a leader in electronic design and computational software, specializing in Intelligent System Design for chips, boards, and systems.

What you will do

• Evaluate cutting-edge silicon designs within a lab environment.
• Develop test methodologies and improve validation practices to ensure designs meet industry standards and internal specifications.
• Build script infrastructure and automate device configuration and data analysis using Python.
• Collaborate with analog, digital, and system designers to devise experiments and drive data collection.
• Generate comprehensive test reports for internal stakeholders and customers.
• Support customer demonstrations and assist Application Engineers with debugging and issue resolution.

Requirements

• B.S. or M.S. degree in Electrical Engineering, Computer Engineering, or a related field.
• 1+ years of experience in validation, specifically with high-speed analog/mixed signal designs.
• Hands-on experience with high-speed test equipment including BERT, Oscilloscopes, Spectrum Analyzers, and Network Analyzers.
• Strong software programming and scripting skills in Python or other object-oriented languages.
• Ability to take initiative and work effectively within a team.

Nice to have

• Experience leveraging AI-powered tools and analytics to improve productivity and extract insights from complex datasets.

Culture & Benefits

• Culture that values innovation, collaboration, and customer success.
• Opportunity to work with seasoned professionals on industry-leading IP solutions.
• Environment focused on creative problem-solving and AI-augmented development practices.