Hardware Platform Development Intern
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Job description
About the Position
Hardware Platform Development Intern
Austin, Texas, United States
About the Job
Build your first real systems engineering experience on AI hardware you can measure, test, and improve.
As a Systems Engineering Intern in Austin, you will contribute to projects across hardware, firmware, and software engineering. You will help validate advanced AI compute platforms from subsystem behavior to full system performance.
You will support CPU and high-speed input and output subsystem work, including lab testing, automation, and data analysis. Your work will help engineers understand performance, power, signal behavior, and reliability.
You will gain hands-on experience with technologies such as PCIe 6.0, 800G Ethernet, and high-performance cooling. You will own defined technical tasks with guidance, then document your methods, results, and conclusions.
This internship is a chance to turn academic learning into practical engineering judgment on real AI hardware.
Responsibilities
- Contribute to projects across hardware, firmware, and software engineering
- Validate advanced AI compute platforms from subsystem behavior to full system performance
- Support CPU and high-speed input and output subsystem work
- Perform lab testing, automation, and data analysis
- Document methods, results, and conclusions
Requirements
- Current enrollment in a bachelor's, master's, or doctoral program in electrical engineering, computer engineering, computer science, or a closely related field
- Hands-on lab testing or technical measurement experience
- Experience with at least one programming or scripting language (Python, C, C++, MATLAB)
- Foundational understanding of computer architecture, digital systems, embedded systems, or hardware-software interaction
- Analytical problem-solving skills and interest in how hardware, firmware, and software operate together
- Clear documentation habits, constructive communication, and willingness to learn unfamiliar tools with guidance
We Offer
- Flexible working hours
- Comprehensive healthcare (medical, dental, vision coverage)
- Phantom equity: Share in Graphcore’s success
- Tax-advantaged healthcare savings (FSAs and HSAs)
- Disability and life insurance
- Retirement planning support (401(k) plan)
- Commuter benefits
- Wellbeing resources
- Employee Assistance Program (EAP)
About the Company
Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.
If you want an internship where your scripts, measurements, and questions help shape real AI hardware, we’d love to hear from you. Apply now to be part of the journey.
© Graphcore. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Artificial Intelligence
About the Company Graphcore is a leading innovator in Artificial Intelligence compute, developing hardware, software, and systems infrastructure to unlock the next generation of AI breakthroughs and power widespread adoption. Products, Services & Tech Stack Core Solutions: Hardware, software, and systems infrastructure for AI. Project Scope & Target Clients Client Base: Innovators creating the next breakthroughs in artificial intelligence. Engineering Scale: Scope and complexity of engineering projects are not specified.
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