Staff QA Engineer - Workload Management

Cerebras; Województwo pomorskie; On-site; PLN 350,700 - 474,400; Full time

Benefits offered by this job

Competitive salary

Annual leave policy

Medical and dental health plans

Gym card

Employee pension (matched up to 4%)

Job summary

Cerebras is seeking a Quality Assurance Engineer to join our Workload Management team. This role focuses on validating Kubernetes integrations for AI accelerator hardware and involves close collaboration with software engineers.

The ideal candidate will have experience in automation engineering, strong programming skills in Python, and a solid understanding of Linux systems. We offer a competitive salary, health plans, and a commitment to building an inclusive workplace.

Qualifications

• Strong programming experience in Python.
• Hands-on experience with Robot Framework or similar automation frameworks.
• Experience testing cloud-native systems and containerized environments.
• Strong understanding of Linux systems.
• Experience with CI/CD systems such as GitLab CI or GitHub Actions.
• Ability to debug complex issues across multiple system layers.

Responsibilities

• Design, develop, and maintain automated test suites for Kubernetes integration.
• Develop end-to-end, integration, and system tests for Kubernetes clusters.
• Identify, document, and track defects in collaboration with engineering teams.
• Contribute to design of CI/CD pipelines.
• Validate scalability, performance, and reliability of workload orchestration.

Skills

Strong programming experience in Python

Hands-on experience with Robot Framework

Experience testing cloud-native systems

Strong understanding of Linux systems

Experience with CI/CD systems

Experience testing distributed systems

Ability to debug complex issues

Strong analytical and problem-solving skills

Excellent communication skills

Job description

Salary Range: PLN 350,700 - 474,400

Subject to alignment to the responsibilities and duties of the role.

About Graphcore

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.

The Role

We are seeking a Quality Assurance Engineer to join our Workload Management team, which is responsible for enabling next‑generation AI accelerator hardware within Kubernetes clusters.

In this role, you will contribute to the validation of Kubernetes integrations that allow new accelerator to be scheduled, orchestrated, and utilized efficiently across distributed environments.

Working closely with software engineers and infrastructure teams you will help ensure that our workload management stack – including scheduling, resource allocation, and device management – operates reliably in production environments. The role combines strong automation engineering with a systems‑level understanding of distributed platforms, helping ensure our solutions are robust, scalable, and ready for real‑world deployment.

As a senior member of the team, you will play an important role in mentoring engineers and shaping quality practices.

Responsibilities

• Design, develop, and maintain automated test suites for Kubernetes integration components.
• Develop end‑to‑end, integration, and system tests to validate scheduling and resource allocation within Kubernetes clusters.
• Identify, document, and track defects, working closely with engineering teams to investigate root causes and validate fixes.
• Contribute to design of CI/CD pipelines.
• Validate scalability, performance, and reliability of workload orchestration.
• Improve test coverage, test stability, and observability across distributed system components.
• Collaborate with development teams to define quality standards, test strategies, and validation plans early in the development lifecycle.
• Contribute to the evolution of QA automation frameworks, tooling, and testing practices across the organization.
• Mentor and support other QA engineers, providing guidance on automation, debugging, and testing best practices.

Skills and Experience

Essential

• Strong programming experience in Python.
• Hands‑on experience with Robot Framework or similar automation frameworks.
• Experience testing cloud‑native systems and containerised environments.
• Strong understanding of Linux systems.
• Experience with CI/CD systems such as GitLab CI or GitHub Actions.
• Experience testing distributed systems.
• Ability to debug complex issues across multiple system layers (Kubernetes, infrastructure, applications).
• Strong analytical and problem‑solving skills.
• Excellent communication and collaboration skills.

Desirable

• Experience validating Kubernetes integrations.
• Understanding of AI training and inference workloads and their orchestration requirements.

Benefits

In addition to a competitive salary, annual leave policy, medical and dental health plans, a gym card and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. 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.