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

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.
• #InternshipProgramUS
• 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.
• An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
• GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.