Graduate Performance Engineer

Graphcore Early Careers; Austin (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

Graphcore invites graduates to join our AI engineering campus in Austin as a Graduate Performance Engineer, contributing to design, integration, bring-up and validation of complex server- and rack-level performance in large-scale systems.

You will work with hardware and software teams to identify bottlenecks, model and evaluate the full stack, and develop practical optimization strategies while growing your practical technical skills.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Software development

Hardware architecture

Performance implications

Problem solving

Collaboration

Education

Electrical/Computer Engineering degree

Tools

PCI Express (PCIe)

DDR memory

Ethernet

Job description

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.