TL;DR
Principal Post Silicon Validation Engineer (AI): Defining and implementing evaluations for cutting-edge digital and mixed-signal IP solutions in silicon, developing test methodologies, and automating testing processes. Focus on collaborating with design teams, analyzing data, and leveraging AI-powered tools to enhance productivity and decision-making in post-silicon bring-up and characterization.
Location: Onsite in Cary, USA
Company
hirify.global is a leader in electronic design, providing software, hardware, and IP solutions for innovative companies across various market applications.
What you will do
- Define and implement evaluations for cutting-edge designs in silicon within a lab environment.
- Develop and improve test methodologies for validating silicon designs against industry standards and specifications.
- Devise and write script infrastructure for device configuration, test automation, and data analysis.
- Collaborate with analog, digital, and system designers to conduct experiments and present results.
- Generate test reports for internal and customer use.
- Support customer demonstrations and debug customer issues alongside Application Engineers.
Requirements
- B.S. or M.S. degree in Electrical, Computer Engineering, Engineering Science, or related field.
- 8+ years of validation experience in high-speed analog/mixed signal designs.
- Experience with high-speed test equipment such as Bit-Error Rate Testers (BERT), Oscilloscopes, Spectrum Analyzers, and Network Analyzers.
- Solid software programming/scripting experience in Python or similar object-oriented languages.
- Candidate must be a self-starter, takes initiative, strong communication, great teammate.
Culture & Benefits
- Join a growing and innovative IP team.
- Work alongside seasoned professionals.
- Be part of a culture that values innovation, collaboration, and customer success.
- Leverage AI-powered tools and assistants to enhance productivity and decision-making.
- Apply AI-powered analytics tools to extract insights and generate recommendations from complex datasets.
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