Graphcore Logo

Graphcore

Graduate Performance Engineer

Posted 2 Hours Ago
Be an Early Applicant
Hybrid
Austin, TX
Entry level
Hybrid
Austin, TX
Entry level
Supports the design, integration, bring-up, debugging, and validation of server- and rack-level performance. Analyzes hardware and software architectures to identify bottlenecks, evaluates optimization approaches, and collaborates with cross-functional engineering and testing teams.
The summary above was generated by AI
About Graphcore

Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver 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 some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing.

The Opportunity

As a Graduate Performance Engineer, you will contribute to the design, integration, bring-up, and validation of complex server- and rack-level performance of elaborate, large-scale systems. You will work alongside experienced engineers, software developer, and cross-functional partners while building practical skills in component, system and scale up/out performance optimization and design.

What You’ll Do
  • Support the design, peer review, bring-up, and debug of complex server- and rack-level systems.
  • Assist with modeling, design and evaluation of the complete software and hardware stack identifying performance bottlenecks, possible solutions and testing those outcomes.
  • Collaborate with many different teams across both hardware and software development and testing.
What You’ll Bring
  • A bachelor’s or master’s degree in electrical engineering, computer engineering, or a related discipline, completed before the role’s start date. Equivalent relevant education or practical experience will also be considered.
  • Foundational knowledge of software development, hardware architecture and general understanding of performance implications.
  • Hands-on experience gained through coursework, laboratories, internships, research, student projects, or personal projects.
  • Ability to analyze technical problems, document your work, communicate clearly, and collaborate effectively.
  • Curiosity, sound engineering judgment, and a willingness to learn in a fast-moving, multidisciplinary environment.
Preferred Qualifications
  • Software and hardware architecture especially focused on performance implications
  • Familiarity with high-speed interfaces such as PCI Express (PCIe), DDR memory, or Ethernet.

These qualifications are helpful, not mandatory. We encourage you to apply even if you do not meet every preferred qualification.

Equal Opportunity and Accommodations

Graphcore 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 Privacy

Personal information submitted during the recruiting process will be handled in accordance with Graphcore’s applicable candidate privacy notices.

Similar Jobs at Graphcore

55 Minutes Ago
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Supports the design, integration, validation, and performance analysis of advanced AI computing platforms. Responsibilities include developing validation plans and automation scripts, conducting laboratory measurements, analyzing performance and power data, troubleshooting system issues, investigating root causes, and documenting technical results. The engineer collaborates with hardware, firmware, software, mechanical, thermal, manufacturing, and systems teams throughout the development lifecycle.
Top Skills: 800G EthernetCC++Cpu ArchitectureEmbedded SystemsLiquid CoolingLogic AnalyzersMatlabOscilloscopesPcie 6.0Power MetersProtocol AnalyzersPython
55 Minutes Ago
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Design and validate mechanical and thermal components for advanced AI hardware and data center systems. Create CAD models and drawings, develop and execute prototype tests, analyze data, troubleshoot issues, support verification, and document engineering results. Collaborate with thermal, electrical, hardware, systems, and manufacturing teams throughout the product development lifecycle.
Top Skills: 3D CadCreo
2 Hours Ago
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Develop and validate low-level embedded firmware for advanced compute systems. Responsibilities include firmware implementation, automated testing, Linux-based debugging, hardware bring-up, lab validation, continuous integration, root-cause analysis, and collaboration across hardware, silicon, systems, and software teams. The role also involves documenting designs and test findings, conducting engineering experiments, and supporting reliable firmware delivery.
Top Skills: CC++Continuous Integration And Continuous DeliveryEmbedded SystemsFirmwareLinuxPython

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account