Top Tech Jobs & Startup Jobs

Design, implement, optimize, and support PyTorch, Triton, and related framework features for Graphcore accelerators. Contribute to upstream PyTorch, maintain Python and C++ extensions, integrate compiler backend capabilities with torch.compile, review code, write documentation, and support users. Collaborate with software, AI/ML, research, and hardware teams while working in large open-source codebases.

Lead manufacturing test strategy for complex Circuit Card Assemblies, covering optical and X-ray inspection, in-circuit testing, boundary scan, and functional test. Define test methods, evaluation criteria, architectures, and diagnostic approaches to improve defect coverage and production quality. Architect, program, and debug board-level test systems while collaborating with engineering teams, suppliers, and manufacturing partners. Provide technical direction, mentor engineers, and strengthen future product test capabilities.

Develop and operate private cloud services supporting Graphcore AI systems. Translate requirements into reliable deployed services, using Infrastructure-as-Code, automation, testing, monitoring, and observability. Manage Linux-based infrastructure across cloud, virtualization, networks, storage, and pre-release hardware and software. Collaborate with software platform, datacentre, and product teams to maintain critical system performance and availability.

The Staff Software Engineer will design and develop the Collectives Communication Library for AI hardware, lead development efforts, mentor junior engineers, and ensure integration with existing systems.

This role involves designing and maintaining automated test suites for Kubernetes, validating integrations, and mentoring engineers in QA practices.

Lead and conduct post-silicon validation for AI compute blades and racks, ensuring performance meets product standards while collaborating with multiple teams and mentoring engineers.

The Software Engineer will develop the Collectives Communication Library for AI hardware, collaborating with teams, implementing features, and resolving technical issues.

The Director of Silicon Verification will lead the verification strategy, manage teams, oversee methodologies, and collaborate across departments to ensure high-quality silicon delivery.

Lead post-silicon validation for AI SoCs, ensuring quality and reliability through effective collaboration and debugging across teams. Foster automation and continuous improvement in validation methods.

Lead the bring-up and characterisation of Graphcore silicon devices and system platforms. Build and lead a team to develop characterisation plans, automate measurements and testing, script data analysis, and validate silicon and system-level performance. Collaborate with architecture, silicon, hardware, operations and product teams to resolve technical issues and influence product design and capabilities.