Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption.
As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems.
The OpportunityWe are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms.
You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation.
What You Will Do- Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms.
- Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review.
- Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis.
- Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data.
- Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems.
- Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processors.
- Use power meters, oscilloscopes, logic analyzers, and comparable laboratory equipment to execute tests and gather reliable evidence.
- Analyze unexpected behavior, reproduce issues, perform structured root-cause investigations, and help verify corrective actions.
- Collaborate across hardware, firmware, software, mechanical, thermal, manufacturing, and systems teams to resolve integration issues.
- Maintain accurate requirements, test procedures, scripts, data summaries, engineering notes, and change records.
- Present progress, results, risks, and technical recommendations clearly and follow applicable engineering, configuration-control, laboratory, and safety procedures.
- A bachelor's or master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a closely related field, completed recently or expected before the role begins.
- A strong foundation in computer architecture, digital systems, embedded systems, hardware-software interaction, or system-level engineering.
- Hands-on experience with laboratory testing and technical measurements through coursework, research, internships, student teams, or personal projects.
- Experience with at least one programming or scripting language, such as Python, C, C++, or MATLAB.
- Ability to plan technical work, analyze test data, document results accurately, and draw evidence-based conclusions.
- A structured approach to problem-solving, troubleshooting, and root-cause investigation.
- Clear written and verbal communication skills and the ability to collaborate effectively across engineering disciplines.
- Curiosity, sound engineering judgment, and willingness to learn unfamiliar tools, systems, and laboratory methods.
- Internship, research, academic, or project experience with CPU subsystems, PCIe, Ethernet, high-speed interfaces, or platform validation.
- Experience using power meters, oscilloscopes, logic analyzers, protocol analyzers, or similar laboratory equipment.
- Experience creating test automation, data-analysis tools, or engineering scripts.
- Exposure to platform performance characterization, power delivery, thermal management, liquid cooling, or energy efficiency.
- Familiarity with systems integration, design verification, configuration control, or engineering change processes.
- Experience presenting engineering work or test results in a technical review setting.
These qualifications are helpful, not required. We encourage you to apply even if you do not meet every preferred qualification.
to the terms of the applicable plans and company policies. This overview is not a contract or guarantee of benefits.
Equal Opportunity and AccommodationsGraphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law.
Graphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know.
Candidate PrivacyPersonal information submitted during the recruiting process will be handled in accordance with Graphcore's applicable candidate privacy notices.
Skills Required
- Bachelor’s or master’s degree in electrical engineering, computer engineering, computer science, systems engineering, or a closely related field, completed recently or expected before the role begins.
- Foundation in computer architecture, digital systems, embedded systems, hardware-software interaction, or system-level engineering.
- Hands-on laboratory testing and technical measurement experience through coursework, research, internships, student teams, or personal projects.
- Experience with at least one programming or scripting language, such as Python, C, C++, or MATLAB.
- Ability to plan technical work, analyze test data, document results accurately, and draw evidence-based conclusions.
- Structured approach to problem-solving, troubleshooting, and root-cause investigation.
- Clear written and verbal communication skills and ability to collaborate across engineering disciplines.
- Curiosity, sound engineering judgment, and willingness to learn unfamiliar tools, systems, and laboratory methods.
- Internship, research, academic, or project experience with CPU subsystems, PCIe, Ethernet, high-speed interfaces, or platform validation.
- Experience using power meters, oscilloscopes, logic analyzers, protocol analyzers, or similar laboratory equipment.
- Experience creating test automation, data-analysis tools, or engineering scripts.
- Exposure to platform performance characterization, power delivery, thermal management, liquid cooling, or energy efficiency.
- Familiarity with systems integration, design verification, configuration control, or engineering change processes.
- Experience presenting engineering work or test results in a technical review setting.
What the Team is Saying
Graphcore Compensation & Benefits Highlights
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Healthcare Strength — Medical coverage starts day one in the U.S. with dental/vision and mental‑health support, and private medical insurance with wellbeing resources is highlighted in other regions. These offerings indicate robust core health protection.
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Retirement Support — Retirement programs feature a U.S. 401(k) with a 100% company match up to 6% (with a true‑up) and matched pension schemes up to 5% in the UK (and 4% in Poland). This breadth signals meaningful employer support for long‑term savings.
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Leave & Time Off Breadth — Flexible working hours, trust‑based or “unlimited annual leave” in some regions, and U.S. flexible PTO with 11 paid holidays are emphasized. These provisions point to wide‑ranging time‑off options.
Graphcore Insights
What We Do
At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.
Why Work With Us
Our team is at the forefront of the machine intelligence revolution, enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.
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Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
