AI Processor Hardware/Software Integration Engineer Intern (Summer 2027)

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power efficient and high-performance solutions for high growth markets. GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.

Internship Program Overview: 

Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with a meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you’ll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.

Summary of Role:

Launch your engineering career through hands-on hardware/software integration and validation of next-generation RISC-V CPUs and AI accelerators. Work across hardware, software, AI workloads, and benchmarking while helping deliver high-quality Physical AI products.

Essential Responsibilities include:

• Execute compliance tests, regressions, benchmarks, and AI workloads across simulation, emulation, FPGA, and hardware platforms.

• Reproduce, debug, document, and track failures using logs, traces, waveforms, and performance counters.

• Validate CPU, NPU, memory, interrupt, exception, and software execution features with guidance from senior engineers.

• Develop automation for test execution, result checking, reporting, and dashboards.

• Collaborate with architecture, RTL, verification, compiler, software, performance, and infrastructure teams to resolve issues.

• Document test procedures and findings, and communicate progress clearly across globally distributed teams.

Other Responsibilities:

• Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Required Qualifications:

• Education – At least a sophomore at time of application and actively pursuing a Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering or related field through an accredited degree program during the time of internship.

• Academic, research, or project experience in computer architecture, embedded systems, software testing, or machine learning systems.

• Programming experience in Python and C or C++, plus basic Linux, Shell, and Git skills.

• Foundational knowledge of CPU architecture, memory systems, operating systems, and software development.

• Strong analytical, problem-solving, learning, and communication skills.

• Must have at least an overall 3.0 GPA and be in good academic standing.

• Language Fluency - English (Written & Verbal)

• Ability to work at least 40 hours per week during the internship.

Preferred Qualifications: 

• Prior related internship or co-op experience

• Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.

• Strong interest in leveraging AI tools and emerging technologies to enhance productivity, streamline workflows, and support effective decision-making.

• Project management skills, i.e., the ability to innovate and execute on solutions that matter; the ability to navigate ambiguity.

• Strong written and verbal communication skills

• Strong planning & organizational skills

• Coursework or projects involving RISC-V or NPU systems.

• Familiarity with Assembly, instruction traces, waveforms, Linux, or low-level software.

• Exposure to ONNX, PyTorch, TensorFlow, MLPerf, neural network quantization, or AI inference workloads.

• Participation in capstone or open-source projects, engineering competitions, or laboratory research.

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Expected Salary Range

$20.00 - $40.00

Expected Salary Range

$0.00 - $0.00

The exact Salary will be determined based on qualifications, experience and location.