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Graduate Performance Engineer

Graphcore · Austin, Texas

Location
Austin, Texas, United States
Level
Entry level
Posted
5 days ago

About this role

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.

Start: September, 2027
Location:
Austin, Texas, USA

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.

As published by Graphcore. Applications are handled on their site.

Skills this posting mentions

ResearchHardware Architecture

About Graphcore

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.

All 181 openings at Graphcore

One click, then it is written

Apply to Graphcore with a resume written for this role.

Queue Graduate Performance Engineer and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Graphcore’s form for you.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • 25 sent a week, free
  • No card
  • Nothing sent until you say so

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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

500 free credits on sign-up. No card. Nothing is sent until you say so.

Listed from the job board Graphcore publishes. Refolk is not the employer and does not handle their hiring. Applications go to Graphcore directly.