About the role#
This internship offers an opportunity to gain hands-on experience in hardware and software integration and the validation of RISC-V CPUs and AI accelerators. You will work across hardware, software, and benchmarking to support the delivery of Physical AI products.
What you'll do#
- Run compliance tests, regressions, benchmarks, and AI workloads across simulation, emulation, FPGA, and hardware platforms.
- Reproduce, debug, 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.
- Build automation for test execution, result checking, reporting, and dashboards.
- Collaborate with architecture, RTL, verification, compiler, software, performance, and infrastructure teams to resolve technical issues.
- Document test procedures and findings while communicating progress to globally distributed teams.
- Maintain safe work practices and support Environmental, Health, Safety, and Security programs.
What you'll need#
- Enrollment as at least a sophomore pursuing a bachelor's or master's degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or a related field.
- A minimum 3.0 overall GPA and good academic standing.
- Academic, research, or project experience in computer architecture, embedded systems, software testing, or machine learning systems.
- Programming proficiency in Python and C or C++.
- Basic skills in Linux, Shell, and Git.
- Foundational knowledge of CPU architecture, memory systems, operating systems, and software development.
- Ability to work at least 40 hours per week.
- Fluency in written and verbal English.
- Preferred: Prior internship experience, leadership experience, or project management skills.
- Preferred: Coursework or projects involving RISC-V or NPU systems, Assembly, instruction traces, or low-level software.
- Preferred: Exposure to ONNX, PyTorch, TensorFlow, MLPerf, neural network quantization, or AI inference workloads.
- Preferred: Participation in capstone projects, open-source work, engineering competitions, or laboratory research.
Location & details#
- Location: Richardson, Texas
- Term: Summer 2027
- Modality: On-site
- Employment type: Full-time
- Paid internship
About GlobalFoundries
GlobalFoundries manufactures semiconductors for various industries including automotive, aerospace, and data centers. The company operates manufacturing facilities across the United States, Europe, and Asia. It was founded in 2009 and currently functions as a public company. The organization employs over 10,000 people.
How to get in at GlobalFoundries
Applying early to GlobalFoundries gives you a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. Reaching out to the right person often beats waiting in an automated queue. Intern Insider surfaces the recruiters behind the company roles so you can reach out directly to ask about the role or a referral, which materially improves your response rates.
