Top Engineering Jobs

The SoC Architect designs, specifies, models, and integrates subsystems for high-performance silicon devices, collaborating with other teams and influencing design trade-offs, while guiding engineers and mentoring technical staff.

The Principal SoC Architect will design, specify, and integrate subsystems in AI acceleration technology, collaborating closely with various engineering teams and managing technical objectives.

The Staff Software Engineer will lead the design and development of profiling tools for optimizing user applications on Graphcore hardware, mentoring junior engineers and ensuring scalable technical solutions.

Lead development and debug of bare-metal C/C++ bringup sequences and tests on FPGA/emulator and first silicon; deploy and debug validation tests; build Python automated test frameworks; analyze failures, collaborate across teams, mentor engineers, and improve test infrastructure and processes.

The Software Infrastructure Engineer will develop and maintain tools/services for software build, CI/CD systems, and manage cloud infrastructure using Kubernetes and Terraform.

Develop and deploy cloud services using Kubernetes, manage production workloads, and optimize AI systems. Collaborate with teams for continuous integration and infrastructure automation.

The Senior Cloud Platform Engineer will develop and operate high-performance infrastructure within private clouds, collaborate with Datacentre Operations, and support product delivery through effective automation and monitoring.

Lead and build Graphcore's silicon characterisation capability: define bring-up and characterisation strategies, oversee technical execution, design lab infrastructure, implement measurement automation and data analysis, and collaborate across silicon, hardware, manufacturing, architecture and product teams to ensure reliable AI silicon performance.

Design, develop, and implement diagnostics software and tools for hardware monitoring and fault diagnosis in AI systems. Collaborate with multiple teams to ensure system reliability.

The Principal Reliability Scientist leads reliability activities in high-performance systems, drives experimental design, analyses data for reliability metrics, and collaborates with cross-functional teams to enhance product reliability and serviceability.