Hardware Developer Intern 2027 -Austin
IBM · Austin, TX · 1 mo ago
HybridEngineeringFull-time
Your Role and Responsibilities
- Develop and execute hardware, processor, memory, and system-level test and validation solutions to ensure product quality and manufacturing readiness.
- Design, enable, and optimize test methodologies across development, characterization, qualification, manufacturing, and field support environments.
- Support product reliability, qualification, and burn-in activities to ensure robust product operation throughout the lifecycle.
- Analyze engineering and manufacturing data to identify issues, improve product performance, and drive data-informed decisions.
- Build software and automation solutions that enable hardware and firmware validation, test infrastructure, manufacturing operations, engineering analytics, improve productivity, operational efficiency, and adoption of AI-native engineering workflows across the product lifecycle.
- Collaborate with design, architecture, firmware, manufacturing, suppliers, and quality teams to solve complex technical challenges and deliver innovative technology solutions.
Preferred Education
- Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related STEM field.
Technical and Professional Expertise
- Pursuing a Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related STEM field.
- Basic understanding of computer architecture, electronic systems, semiconductor technologies, hardware validation, or test engineering concepts.
- Experience with programming, scripting, data analysis, or automation using languages such as Python, C/C++, Java, or similar technologies.
- Demonstrated problem-solving, analytical, and debugging skills through coursework, research, internships, or project experience.
- Strong communication and collaboration skills with the ability to work effectively in multidisciplinary engineering teams.
Preferred Technical and Professional Experience
- Pursuing a Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related STEM field.
- Experience through internships, co-ops, research, or academic projects in hardware development, semiconductor technologies, system validation, or test engineering.
- Knowledge of computer architecture, microprocessors, memory subsystems, storage technologies, or embedded systems.
- Familiarity with programming and automation using languages such as Python, C/C++, Java, or similar tools.
- Exposure to AI-assisted engineering workflows, data analytics, hardware characterization, reliability testing, or manufacturing test environments.