SoC Test Engineer Intern: ATE, Silicon & AI Tools

NXP Semiconductors; Austin (TX); On-site; USD 28,000 - 34,000; Full time

Job summary

NXP Semiconductors in Austin, TX is seeking a Test Engineering Intern to help develop test solutions for advanced SoCs using Automated Test Equipment (ATE). You will gain hands-on experience with NPI, silicon characterization, AI-assisted engineering workflows, and data analytics while contributing to real projects.

You will work with design, product engineering, validation, quality, and manufacturing teams to analyze test data, improve productivity, and support engineering automation and

Qualifications

• Pursuing a BS/MS in Electrical Engineering, Computer Engineering, Computer Science, or related field.
• Strong analytical, communication, and teamwork skills.
• Experience with Python, C#, VBA, Linux, generative AI tools or similar technologies.
• Coursework or interest in computer architecture, digital design, verification, and programming.

Responsibilities

• Develop test solutions for advanced SoC devices using Automated Test Equipment (ATE)
• Assist with silicon characterization, validation, and debug activities
• Develop scripts and tools to improve engineering productivity and test efficiency
• Analyze test data to identify trends, yield opportunities, and quality issues
• Collaborate with Design, Product Engineering, Validation, Quality, and Manufacturing teams

Skills

Analytical skills

Communication

Teamwork

Python

C#

VBA

Linux

Generative AI tools

Computer architecture

Digital design

Verification

Programming

Education

BS/MS in Electrical Engineering or related field

Tools

Python

C#

VBA

Linux

Generative AI tools

Job description

NXP Semiconductors in Austin, TX is seeking a Test Engineering Intern to help develop test solutions for advanced SoCs using Automated Test Equipment (ATE). You will gain hands-on experience with NPI, silicon characterization, AI-assisted engineering workflows, and data analytics while contributing to real projects.

You will work with design, product engineering, validation, quality, and manufacturing teams to analyze test data, improve productivity, and support engineering automation and