Level

Graphcore

Graduate Performance Engineer

AI in this role

ai-research

About the job

Start your engineering career optimizing the performance of large-scale AI compute systems.

As a Graduate Performance Engineer, you will help design, bring up and validate complex server and rack-level systems. You will join in September 2027 and work from Austin, Texas.

You will learn how performance is shaped across hardware, software and system design. Your work will help engineering teams identify bottlenecks, test improvements and build more efficient AI compute platforms.

You will support modeling, integration, debug and evaluation across the complete hardware and software stack. You will also work with experienced engineers to turn data into practical design decisions.

This is a strong first role for graduates who want broad technical exposure early. You will build skills across architecture, performance analysis, system bring-up and scale out engineering.

The team and culture

The Performance Engineering team works across the full system, from component behavior to server and rack-level performance. Engineers use modeling, test data and hands-on debug to understand what limits performance.

You will work with hardware, software, validation and systems teams to investigate issues and test improvements. Decisions are guided by evidence, clear analysis and direct communication.

The team values engineers who think big, ask sharp questions and take responsibility for their work. You will get support, but you will also be trusted to learn quickly and contribute.

What we’re looking for

  • A bachelor’s or master’s degree in electrical engineering, computer engineering or a related field, completed before the role begins.
  • Foundational knowledge of software development, hardware architecture and performance implications.
  • Hands-on experience from coursework, labs, internships, research, student projects or personal projects.
  • Ability to analyze technical problems, document your work and communicate findings clearly.
  • Curiosity, sound engineering judgment and a strong desire to learn across engineering disciplines.
  • Familiarity with PCIe, DDR memory, Ethernet or performance-focused hardware and software architecture.

While we have outlined a set of requirements, we value transferable skills and diverse experiences. 

Benefits

  • Flexible working: Balance your work and personal life with greater flexibility
  • Comprehensive healthcare: Medical, dental and vision coverage to help keep you and your family healthy
  • Phantom equity: Share in Graphcore’s success
  • Tax-advantaged healthcare savings: Flexible Spending Accounts (FSAs) and Health Savings Accounts (HSAs) to help you make the most of your healthcare spending
  • Peace of mind protection: Disability and life insurance to provide financial security when you need it most
  • Retirement planning support: A 401(k) plan to help you invest in your future
  • Commuter benefits: Help cover the cost of your daily commute
  • Wellbeing resources: Access to wellness services that support your physical and mental health
  • Employee Assistance Program (EAP): Confidential advice and support for you and your family across a range of personal, financial and wellbeing matters

We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognize that everyone brings different strengths and perspectives. If you need any accommodations during the interview process, just let us know - we're happy to support you.

Join the Team at Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute.

If you want to start your engineering career improving the performance of advanced AI compute systems, we’d love to hear from you. Apply now to join Graphcore as a Graduate Performance Engineer.

 

How we rate this

Graduate Performance Engineer at Graphcore rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Get new AI jobs by email

One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Software Engineering roles that involve little AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Graphcore

Related searches

Same AI level