Staff Engineer, AI Systems & Infra Automation

EngineersOfAI; Texas; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Graphcore in the United States seeks a System Management Engineer to own software across the full SDLC for the rack management solution and infrastructure services. You will test, deploy, and operate containerized workloads using Kubernetes, Docker, and Podman, while collaborating with Datacenter Operations to keep AI systems performing at peak levels.

Requirements include a Bachelor's degree or equivalent, RESTful API experience, Go programming, and hands-on CI/CD automation with IaC tools.

Qualifications

• 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 IaC, source code version control, and CI/CD automation tools.

Responsibilities

• Ownership of software engineering efforts across the full SDLC for the rack management solution.
• Ownership of critical infrastructure with cross-team collaboration to drive issues to resolution.
• Configure and test Graphcore hardware and systems using CI/CD and IaC in datacentres.
• Collaborate with Datacenter Operations Engineers to maintain AI systems at peak performance.
• Drive corrective actions for systems not operating correctly with DC operations and Graphcore Engineering.

Skills

RESTful API development

Go

CI/CD automation

Infrastructure as Code

Education

Bachelor's degree or equivalent practical experience

Tools

Kubernetes

Docker

Podman

Terraform/OpenTofu

Ansible

GitLab

GitHub Actions

Job description

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, Graphcoreis 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 Redfishfor datacenter h