Jobs at Graphcore

The role involves leading the bring-up and characterisation of silicon devices, executing tests, and liaising with engineering teams to ensure correct operation under all conditions.

The engineer will create and execute plans for silicon device characterisation, liaise with engineering teams, and automate testing processes while producing detailed reports.

Lead post-silicon debug and validation for AI compute silicon and platforms. Drive investigation and resolution of complex silicon, firmware, software and system-level issues, develop debug methodologies, enhance automated debug and validation infrastructure, analyze logs/traces/telemetry, define validation metrics, and communicate technical risks to leadership to ensure product readiness.

Lead validation of board and multi-board hardware from prototype through production by defining validation strategies, executing electrical/functional/system tests, driving root-cause analysis, building and mentoring a validation team, and improving validation tooling, automation, and data analysis to meet product release goals.

Lead and build an SLT test engineering team to develop system-level test capabilities for multi-die AI processors. Define manufacturing test solutions, design test fixtures, write production and characterization test programs on SLT platforms, collaborate across silicon, test, DFT and manufacturing teams, transfer solutions to volume manufacturers/OSATs, and support bring-up, failure analysis and yield improvement.

The role involves validating high-performance AI chips, developing tests in C/C++ and Python, leading team members, and optimizing validation processes.

We are seeking a Senior Post Silicon Validation Engineer to validate high-performance AI chips, develop validation tests, and collaborate with cross-functional teams for successful product introduction.

The role involves managing assets and inventory for R&D operations, ensuring efficient material lifecycle management and collaboration across departments to support engineering labs and data centers.

Lead and execute power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon stages. Define validation strategies, develop automation and benchmarks (Python), run characterization, analyze large datasets to find bottlenecks, and collaborate with architecture, RTL, firmware and systems teams to drive performance and reliability improvements.

Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon phases. Define validation strategies, develop automation and benchmarking frameworks (Python), run characterization and bring-up, analyze data to identify bottlenecks, and collaborate with architecture, RTL, firmware and systems teams to drive optimizations and production readiness.

Lead power, thermal and performance validation for AI compute silicon and systems across pre- and post-silicon phases. Define validation strategies, develop automation and benchmarks (Python), run post-silicon bring-up, characterize CPU/memory/interconnect/I/O under workloads, analyze data to find bottlenecks, and collaborate with cross-functional teams to remediate and improve validation infrastructure.

Seeking a Staff Hardware Engineer for advanced operational and diagnostic support of Arm-based hardware platforms, focusing on troubleshooting AI compute systems.

Seeking a Staff Hardware Engineer to support Graphcore's AI hardware platforms through troubleshooting, validation, and engineering support. Responsibilities include diagnosing failures, collaborating with teams, and providing mentorship to junior engineers.

Join the System Management team as a Staff Engineer, focusing on software engineering across the SDLC, managing cloud-native infrastructure, and developing rack management solutions. Collaborate effectively to ensure peak performance of AI systems.

As a Senior Embedded SW/FW Engineer, you will design, develop, and validate silicon tests using C/C++, support post-silicon validation, and mentor engineering team members.

Lead the validation of hardware platforms, define strategies, manage a validation engineering team, and ensure hardware meets performance and reliability targets.

The candidate will lead troubleshooting and engineering support for AI hardware platforms, collaborating with teams on validation and performance.

The Staff Hardware Engineer leads troubleshooting and validation of AI compute platforms, collaborating with various teams to ensure hardware reliability and performance.

Lead cross-functional programs for AI networking infrastructure, ensuring alignment between network architecture, hardware development, and operational readiness. Manage supplier relationships and oversee the technical roadmap for scalable AI infrastructure delivery.

The role involves coordinating engineering programs, managing procurement and materials, tracking project schedules, and collaborating with vendors to ensure timely production and quality management.