Job Overview
Job description
- Location:
- Austin, Texas, United States
- Work arrangement:
- On-site
Role Summary
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.
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
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.
Requirements
- 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.
- Role:
- Graduate Performance Engineer
Company profile
Graphcore
graphcore.aiGraphcore has built a new type of processor for machine intelligence, designed to accelerate machine learning and AI applications. The company is a wholly owned subsidiary of SoftBank Group Corp and continues to operate under the Graphcore name, and it has recently opened a new office in Taipei. Its research team carries out fundamental and applied research into the computational requirements of machine intelligence, publishes at AI conferences such as NeurIPS, ICML and ICLR, and works across London, Cambridge and Bristol. Its staff includes business executives, software and hardware engineers, and processor and machine learning experts.
- Company Size
- 200 - 500 employees
- Headquarters
- Bristol, United Kingdom
- Founded
- 2016
- Founders
- Nigel Toon
- Funding Stage
- Subsidiary