Graduate Systems Engineer — AI Hardware (Flexible Hours)

Graphcore Early Careers; Austin (TX); On-site; USD 85,000 - 120,000; Full time

Job summary

Graphcore in Austin, Texas, is seeking a Graduate Systems Engineer to contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms.

You will collaborate with hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle—combining subsystem engineering, hands‑on lab work, test automation, data analysis, troubleshooting, and thorough technical documentation.

Qualifications

• Bachelor’s or Master’s degree in electrical/computer engineering, computer science, or systems engineering.
• Foundational knowledge in computer architecture, digital systems, and embedded hardware.
• Hands‑on lab/testing experience or coursework demonstrating hardware measurements.
• Programming experience in Python, C, C++, or MATLAB.
• Strong problem‑solving, documentation, and cross‑functional collaboration.

Responsibilities

• Contribute to design, integration, and testing of CPU and high‑speed subsystems for AI compute platforms.
• Own defined engineering tasks from requirements through validation and review.
• Develop validation plans, scripts, and tools to improve test coverage and data analysis.
• Evaluate platform performance, power, and interop using lab measurements and data.
• Explore PCIe 6.0 and 800G Ethernet for potential use in compute systems.

Skills

Computer architecture

Digital systems

Embedded systems

System-level engineering

Python

C/C++

MATLAB

Testing and lab measurements

Education

Bachelor’s or Master’s in EE/CS

Tools

Oscilloscopes

Logic analyzers

Power meters

Job description

Graphcore in Austin, Texas, is seeking a Graduate Systems Engineer to contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms.

You will collaborate with hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle—combining subsystem engineering, hands‑on lab work, test automation, data analysis, troubleshooting, and thorough technical documentation.