Top Tech Jobs & Startup Jobs

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.

Design and deliver micro-architecture specifications and RTL for Graphcore chips. Collaborate across Silicon teams, use EDA tools and flows, contribute to block- and chip-level checks (lint, synthesis, timing, CDC/RDC, coverage), and work closely with Physical Design, Verification and DFT teams to meet silicon delivery goals.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Define validation plans, run pre- and post-silicon characterization, develop automation and benchmarking frameworks (Python), analyze data to find bottlenecks, collaborate across RTL/firmware/software teams, and drive continuous improvement of validation tooling and methodologies.

Lead system-level hardware project engineering efforts: plan and track milestones, coordinate cross-functional teams (hardware, electrical, mechanical, firmware, SI, thermal, manufacturing, supply chain, quality), manage deliverables through the product lifecycle, identify and mitigate technical risks, support program reviews, and resolve cross-organization issues with ODM partners to maintain project momentum.

Define and execute board- and system-level validation strategies and test plans. Perform hands-on bring-up, functional and electrical characterization, automated test development, debugging, root-cause analysis, and collaborate with ODMs and manufacturing to qualify products for mass production. Document results and present readiness assessments to stakeholders.

The Lead Analytics Engineer at Graphcore is responsible for developing and managing the analytics engineering layer, creating robust datasets and metrics, and collaborating with business stakeholders to enhance decision-making through reliable analytics.

Develop and maintain tools for software build and release processes, manage cloud infrastructure with Terraform, and deploy services using Kubernetes and Docker.

Lead validation strategy and execution for power, thermal and performance of AI compute silicon and systems. Manage and mentor a validation team, develop validation plans, automate frameworks in Python, run benchmarks and post-silicon characterization, analyse data to find bottlenecks, and collaborate across architecture, RTL, firmware and systems teams to drive product readiness and optimization.

The Staff Embedded SW/FW Engineer will develop and debug silicon bringup sequences, work on post-silicon validation, and lead engineering efforts on AI chip functionalities.