About the Role
We are seeking an experienced System Level Test Engineer to join our Product Test and Diagnosis Department. This role involves developing and deploying System Level Test (SLT) solutions for next-generation AI processors, contributing to silicon bring-up, yield learning, and manufacturing deployment.
Responsibilities
- Develop and maintain SLT test content, automation, diagnostics, and characterization workloads for silicon bring-up and manufacturing readiness.
- Execute characterization, voltage/frequency margining, reliability screening, and performance correlation activities, analyzing results and identifying improvements.
- Support development and deployment of SLT hardware, including test boards, sockets, instrumentation, and thermal solutions.
- Integrate validation and bring-up workloads into the SLT environment and support the development of manufacturing screening solutions.
- Debug failures, perform root-cause analysis, and support correlation activities across various environments (Simulation, ATE, Bench, SLT, manufacturing).
- Develop software tools, scripts, and automation flows for test execution, telemetry collection, data analysis, and reporting.
- Contribute to improvements in test coverage, test-time optimization, DPPM reduction, and manufacturing readiness.
- Collaborate with Design, DFT, Silicon Validation, Product Engineering, Manufacturing, and OSAT teams to support product development and deployment.
- Support the transfer of SLT solutions into production environments and assist with manufacturing ramp activities.
- Mentor junior engineers and contribute to continuous improvement of SLT methodologies and best practices.
Requirements
- Experience in semiconductor test, validation, characterization, post-silicon bring-up, or manufacturing environments.
- Understanding of semiconductor fundamentals, digital systems, power delivery, signal integrity, and board-level debugging.
- Familiarity with DFT concepts including scan, JTAG, BIST, MBIST, boundary scan, and manufacturing test methodologies.
- Experience with Python, Tcl, Shell, or similar scripting languages for automation and data analysis.
- Strong debug, problem-solving, root-cause analysis, and data interpretation skills.
- Experience working with cross-functional teams including Design, DFT, Validation, Product Engineering, or Manufacturing.
Skills
- Python
- Tcl
- Shell scripting
- Automation
- Data analysis
- Debugging
- Problem-solving
- Root-cause analysis
- Data interpretation
- Semiconductor test
- Validation
- Characterization
- Post-silicon bring-up
- Manufacturing
- Digital systems
- Power delivery
- Signal integrity
- Board-level debugging
- DFT concepts (scan, JTAG, BIST, MBIST, boundary scan)
- Manufacturing test methodologies
Location
- USA
Work Type
- Flexible working
Experience Level
- Experienced
Education Level
- Bachelor's degree in Electrical Engineering, Computer Engineering, or related field.
Benefits
- Competitive salary
- Flexible working
- Medical coverage
- Dental coverage
- Vision coverage
- Flexible Spending Accounts (FSAs)
- Health Savings Accounts (HSAs)
- Disability insurance
- Life insurance
- 401(k) retirement plan
- Commuter benefits
- Wellness services
- Employee Assistance Programme (EAP)
About the Company
- Graphcore is a leading innovator in Artificial Intelligence compute, developing hardware, software, and systems infrastructure for AI breakthroughs.
- As part of the SoftBank Group, Graphcore aims to enable Artificial Super Intelligence and make its benefits accessible to everyone.
- Graphcore fosters a culture of continuous learning and constant innovation with diverse teams of AI research specialists, silicon designers, software engineers, and systems architects.
Equal Opportunity
- We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone.
- We offer an equal opportunity process and understand that there are visible and invisible differences in all of us.
- We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.
