Staff Engineer

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. 

It is developing hardware software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.  

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists silicon designers software engineers and systems architects Graphcore enjoys a culture of continuous learning and constant innovation. 

Job Summary

We are looking for an experienced Staff Engineer to join our System Management team to help develop the critical interfaces used by internal and external customers to manage system state. Positioned between the hardware and customer workload we are responsible for building the substrate upon which all other teams build upon. As part of the System Management team you’ll collaborate across teams to make complex systems work seamlessly and reliably. While your primary focus will be on engineering excellence and system-level development we value individuals who are versatile and hands-on — willing to contribute wherever needed providing direct support and troubleshooting as necessary. The ideal candidate brings deep experience with HPC and cloud-native infrastructure thrives in fast-paced loosely scoped environments and leads with action decisiveness and teamwork.

The Team

The System Management team part of the Software Platform group helps build Graphcore products into large-scale AI solutions for our customers. The System Management Team is responsible for building the interfaces between hardware and AI software and frameworks as well as providing interfaces for public/private cloud use. This takes the form of a rack management solution that abstracts complex hardware administrative duties. As one of the first teams to work with pre-release hardware and software it’s vital you are comfortable with unproven components and capable of problem solving solutions no matter what.

Responsibilities and Duties

• Ownership of software engineering efforts across the full SDLC including implementation automated testing integration and production readiness for the rack management solution.
• Ownership of critical infrastructure with the need to drive issues to resolution while collaborating effectively across teams.
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.
• Work with our Datacenter Operations Engineers to maintain and operate the fleet of AI systems at peak performance.
• Drive corrective actions for systems that are not operating correctly working with DC operations and Graphcore Engineering as required.

Candidate Profile

Essential:

• Bachelor's degree or equivalent practical experience in a relevant subject.
• Experience with RESTful API development.
• Experience building deploying and operating containerized workloads using Kubernetes and container runtimes such as Docker or Podman.
• Experience with managing production Kubernetes clusters and workloads.
• Programming experience with Go.
• Hands-on experience deploying and operating infrastructure using Infrastructure-as-Code source code version control and CI/CD automation tools (e.g. Terraform/OpenTofu Ansible GitLab GitHub Actions Git version control).
• Experience with Redfish for datacenter hardware management telemetry provisioning and control.
• Experience specifying scoping estimating and detailing work plans in an AGILE and SCRUM framework including priorities risks issues impacts and constraints.
• Strong Linux systems engineering experience including administration automation and scripting with Bash and Python.

Desirable

• Experience with AI coding assistants (Codex Claude etc).
• Experience with Kubernetes operator development (Custom resources).
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.
• Experience with virtualized deployments and the technologies they rely on (e.g. Open vSwitch KVM QEMU).
• Experience with distributed object block and file storage (e.g. Ceph).
• Experience in end-to-end deployment automation and CI of containerized services. Complete automation of pipelines for build test deploy manage alert destroy rebuild.
• Experience with solutions for monitoring and observability (e.g. Grafana Prometheus OpenSearch/ElasticSearch Loki Mimir OpenTelemetry Fluentd Kafka).
• Experience with managed switch configuration (e.g. EOS SONiC DNOS).
• Experience with PyTorch for AI workloads.
• Solid understanding of cloud and infrastructure technologies including APIs virtualization networking block storage resource management and monitoring systems.

What We Do

At Graphcore we’re building the future of AI compute. We’re a team of semiconductor software and AI experts with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group backed by significant long-term investment we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company our products and the future of artificial intelligence.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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