Top Engineering Jobs

Lead validation execution, automation, and quality for silicon and platform products. Develop scalable validation methodologies, automation frameworks, and test infrastructure; drive test coverage, root-cause analysis, release readiness, and cross-disciplinary collaboration. Mentor engineers and influence validation strategy and quality practices.

The Director of Software Architecture leads the software architecture vision for Graphcore’s ML accelerator, managing a team and engaging with stakeholders to ensure alignment with business goals. Responsibilities include defining architecture processes, advocating user experience, and mentoring the architecture team.

Lead post-silicon debug and validation for AI compute SoCs and systems. Drive debug methodologies, reproduce and resolve complex silicon/firmware/software issues, develop automated debug and validation infrastructure, analyze logs/traces/telemetry, define validation metrics, and coordinate cross-functional teams to ensure silicon and product readiness.

Lead end-to-end signal integrity analysis and optimization for blade- and rack-level high-speed compute platforms. Perform SI/PI simulations and hands-on lab validation (VNA, TDR, BERT, oscilloscopes), correlate measurements with simulations, debug margin gaps, and collaborate with silicon, package, board, connector, cable, ODMs and vendors to improve I/O channel performance and produce technical validation reports.

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 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.