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.
Skills Required
- 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
- Programming experience with Go
- Strong Linux systems engineering experience including administration and automation
- Experience specifying, scoping, estimating and detailing work plans in an AGILE framework
What the Team is Saying
Graphcore Compensation & Benefits Highlights
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Healthcare Strength — U.S. offerings include day-one medical through Cigna/Kaiser with PPO and HDHP options plus employer HSA contributions, dental/vision, life insurance at 3x salary, disability, and mental-health support via Spring Health. Globally, private medical insurance, dental cover, a health cash plan, life assurance, income protection, and wellbeing support are highlighted.
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Retirement Support — U.S. employees are offered a 401(k) with a 100% company match up to 6% with a year-end true-up. In the UK/Europe, matched pension schemes up to 5% are stated.
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Leave & Time Off Breadth — Policies include flexible or “unlimited” PTO with 11 paid U.S. holidays and paid family leave. Careers materials also emphasize generous parental leave and flexible hours.
Graphcore Insights
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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Graphcore Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Graphcore, we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week, with trusted flexibility built on trust and transparency for everyone.
