Principal Engineer

Posted 3 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Expert/Leader
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table, shaping the future of Artificial Intelligence.
The Role
Lead architecture and implementation of system management interfaces for AI infrastructure. Translate strategy into technical plans, mentor engineers, improve reliability, automate deployment and CI/CD, collaborate across hardware, firmware and platform teams, and drive production readiness and observability.
Summary Generated by Built In

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, spanning AI research specialists, silicon designers, software engineers and systems architects.

Job Summary

We are looking for an experienced Principal Engineer to join our System Management team and help lead the development of critical interfaces used by internal and external customers to manage system state. You will provide technical leadership within assigned areas of System Management, guide architecture and implementation choices, mentor engineers and translate broader technical direction into effective execution. This is a hands-on engineering role for someone who can lead complex technical work, improve reliability and operational readiness, and collaborate effectively across multiple engineering disciplines.

The Team

The System Management team sits within the Software Platform group and helps build Graphcore products into large-scale AI solutions for our customers.

The team is responsible for developing the interfaces between hardware, AI software and frameworks, as well as providing interfaces for public and private cloud environments. This includes system management capabilities that abstract complex hardware administration and enable reliable deployment and operation at scale.

As one of the first teams to work with new hardware and software, we regularly solve complex system-level problems in environments where components and interfaces are still evolving. The role requires strong technical judgement, adaptability and an ability to work effectively across engineering teams.

Responsibilities and Duties

  • Convert agreed System Management direction into technical plans, engineering priorities and deliverable work for assigned areas.
  • Provide technical leadership for architecture and design decisions, building alignment across collaborating teams and documenting important technical trade-offs.
  • Act as a technical authority for assigned areas of System Management, leading the delivery of large and complex engineering initiatives and coordinating technical plans, dependencies, risks and decisions.
  • Provide technical direction and mentoring to engineers working across system management, hardware lifecycle management, deployment automation and production operations.
  • Take responsibility for key technical outcomes across the full software lifecycle, including design, implementation, automated testing, integration, deployment, observability and production readiness.
  • Identify systemic reliability, scalability and operability issues and lead practical improvements across the platform.
  • Collaborate with Hardware, Firmware, Platform Software and Datacenter Operations teams to diagnose system-level issues and improve end-to-end product behaviour.
  • Improve engineering standards and working practices, including CI/CD, Infrastructure-as-Code, automated testing, release safety and learning from operational incidents.
  • Act as a senior technical escalation point for complex issues while creating reusable knowledge, tooling and automation that reduce future operational effort.

Candidate Profile

Essential

  • Bachelor’s degree or equivalent practical experience in a relevant subject.
  • Substantial experience designing, building and operating Linux-based infrastructure or distributed systems.
  • Demonstrated experience providing technical leadership for complex engineering initiatives involving multiple teams or stakeholder groups.
  • Experience influencing architecture and technical decisions across team boundaries without relying on formal authority.
  • Experience translating broad technical goals into scoped plans, milestones, technical decisions, risks and delivery priorities.
  • Strong experience developing RESTful APIs and programming in Go, with Bash and Python used for systems automation.
  • Deep practical experience with Kubernetes, container runtimes and operating production workloads.
  • Hands-on experience with Infrastructure-as-Code, source control and CI/CD technologies such as Terraform/OpenTofu, Ansible, GitLab, GitHub Actions and Git.
  • Experience with hardware-management interfaces such as Redfish, IPMI or equivalent management systems.
  • Strong Linux systems engineering, troubleshooting and operational debugging capability.
  • Demonstrated ability to develop other engineers through technical mentoring, design reviews and coaching.
  • Clear communication skills, with the ability to persuade, build alignment and bring stakeholders together around practical technical outcomes.

Desirable

  • Experience using AI coding assistants effectively within professional engineering workflows.
  • Experience developing Kubernetes operators and custom resources.
  • Experience with High Performance Computing environments using SLURM, LSF or similar workload-management systems.
  • Experience with virtualisation technologies such as Open vSwitch, KVM and QEMU.
  • Experience with distributed object, block and file storage technologies such as Ceph.
  • Experience with monitoring and observability platforms such as Grafana, Prometheus, OpenSearch/Elasticsearch, Loki, Mimir or OpenTelemetry.
  • Experience configuring managed network switches using technologies such as EOS, SONiC or DNOS.
  • Experience supporting AI infrastructure or PyTorch workloads.

In addition to a competitive salary, Graphcore offers flexible working and a comprehensive benefits package designed to support your health, wellbeing and financial future. Our benefits include medical, dental and vision coverage, Flexible Spending Accounts (FSAs), Health Savings Accounts (HSAs), disability and life insurance, a 401(k) retirement plan, commuter benefits, wellness services and an Employee Assistance Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Skills Required

  • Bachelor's degree or equivalent practical experience in a relevant subject.
  • Substantial experience designing, building and operating Linux-based infrastructure or distributed systems.
  • Demonstrated experience providing technical leadership for complex engineering initiatives involving multiple teams or stakeholder groups.
  • Experience influencing architecture and technical decisions across team boundaries without relying on formal authority.
  • Experience translating broad technical goals into scoped plans, milestones, technical decisions, risks and delivery priorities.
  • Strong experience developing RESTful APIs and programming in Go, with Bash and Python used for systems automation.
  • Deep practical experience with Kubernetes, container runtimes and operating production workloads.
  • Hands-on experience with Infrastructure-as-Code, source control and CI/CD technologies such as Terraform/OpenTofu, Ansible, GitLab, GitHub Actions and Git.
  • Experience with hardware-management interfaces such as Redfish, IPMI or equivalent management systems.
  • Strong Linux systems engineering, troubleshooting and operational debugging capability.
  • Demonstrated ability to develop other engineers through technical mentoring, design reviews and coaching.
  • Clear communication skills, with the ability to persuade, build alignment and bring stakeholders together around practical technical outcomes.
  • Experience using AI coding assistants effectively within professional engineering workflows.
  • Experience developing Kubernetes operators and custom resources.
  • Experience with High Performance Computing environments using SLURM, LSF or similar workload-management systems.
  • Experience with virtualisation technologies such as Open vSwitch, KVM and QEMU.
  • Experience with distributed object, block and file storage technologies such as Ceph.
  • Experience with monitoring and observability platforms such as Grafana, Prometheus, OpenSearch/Elasticsearch, Loki, Mimir or OpenTelemetry.
  • Experience configuring managed network switches using technologies such as EOS, SONiC or DNOS.
  • Experience supporting AI infrastructure or PyTorch workloads.

What the Team is Saying

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Graphcore Compensation & Benefits Highlights

  • Healthcare Strength Private medical insurance, comprehensive dental/vision, a health cash plan, and mental wellbeing support are listed as standard, with day-one coverage and Spring Health/EAP support noted for the U.S. Life assurance and income protection add further protection for serious illness or injury.
  • Leave & Time Off Breadth Flexible working hours and “unlimited annual leave” are explicitly stated. U.S. materials also note flexible PTO and 11 paid holidays.
  • Retirement Support Retirement programs include a U.K. pension match up to 5% and a U.S. 401(k) with a 100% company match up to 6% (with a year-end true-up). These provisions signal a meaningful employer contribution toward long-term savings.

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The Company
HQ: Bristol
903 Employees
Year Founded: 2016

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.

Typical time on-site: 3 days a week
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