Graduate Systems Engineer – Hardware Platform & AI Compute

Graphcore; Austin (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Graphcore in Austin, TX is seeking a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms.

You will work with hardware, firmware, software, mechanical, thermal, and systems engineers across the development lifecycle, performing hands-on lab work, test automation, data analysis, troubleshooting, and documentation.

Qualifications

• Recent graduates or early-career engineers welcome.
• Strong foundation in computer architecture, digital systems, embedded systems, hardware–software interaction, or system-level engineering.
• Hands-on lab testing and measurements experience from coursework, research, internships, student projects, or similar.
• Experience with programming or scripting (Python, C, C++, MATLAB).
• Ability to plan technical work, analyze data, document results, and draw evidence-based conclusions.

Responsibilities

• Contribute to design, integration, and testing of CPU and high-speed I/O subsystems.
• Take ownership of defined tasks from requirements to execution and review.
• Develop validation plans, procedures, scripts, and tools to improve test coverage and data analysis.
• Evaluate platform performance, power, signal behavior, reliability, and interoperability using lab measurements.

Skills

Programming languages

C/C++ programming

Lab testing

System-level engineering

Data analysis

Documentation

Communication

Education

Bachelor's degree in Electrical/Computer Engineering

Master's degree or in progress

Tools

Oscilloscopes

Power meters

Logic analyzers

Test automation

PCIe 6.0

800G Ethernet

Job description

Graphcore in Austin, TX is seeking a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms.

You will work with hardware, firmware, software, mechanical, thermal, and systems engineers across the development lifecycle, performing hands-on lab work, test automation, data analysis, troubleshooting, and documentation.