ML QA Technical Product Owner
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (44.0%).
Occupation TypeQuality assurance technicians
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
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 Team
The ML QA team is responsible for validating the machine learning software stack running on Graphcore hardware. The team works across integration testing, feature validation, performance benchmarking, and end-to-end workload testing, covering multiple layers of the software stack including ML frameworks, runtime behaviour, distributed execution, and system-level functionality.
The team collaborates closely with software engineering teams throughout the development lifecycle, helping define validation strategies early and implementing the test coverage required to validate correctness, functionality, scalability, and performance. The ML QA team also owns performance-focused validation, including benchmark execution, regression analysis, and reporting across real-world ML workloads and extracted model subgraphs.
As Technical Product Owner for ML QA, you will help coordinate and prioritise this work, ensuring the team has clear direction, well-defined deliverables, and alignment with wider software roadmap objectives.
Responsibilities And Duties
Own and Shape the Component Backlog
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 Team
The ML QA team is responsible for validating the machine learning software stack running on Graphcore hardware. The team works across integration testing, feature validation, performance benchmarking, and end-to-end workload testing, covering multiple layers of the software stack including ML frameworks, runtime behaviour, distributed execution, and system-level functionality.
The team collaborates closely with software engineering teams throughout the development lifecycle, helping define validation strategies early and implementing the test coverage required to validate correctness, functionality, scalability, and performance. The ML QA team also owns performance-focused validation, including benchmark execution, regression analysis, and reporting across real-world ML workloads and extracted model subgraphs.
As Technical Product Owner for ML QA, you will help coordinate and prioritise this work, ensuring the team has clear direction, well-defined deliverables, and alignment with wider software roadmap objectives.
Responsibilities And Duties
Own and Shape the Component Backlog
- Create and maintain team roadmaps for the Program Increment (PI) and long term plan to help visualise the current backlog and communicate status and progress to all stakeholders.
- Actively support sprint planning, reviews, demos, providing visual outputs that demonstrate progress against the plan, learnings and changes.
- Involve the team in the right discussions to ensure desired outcomes are realistic, and the team’s ability to deliver them are clearly communicated.
- Ensure the backlog is sufficiently maintained to prepare for PI planning, identifying dependencies and risks early and aligning with other teams on the scope taken into planning.
- Ensure your team’s work aligns with agreed PI objectives.
- Work closely with Technical Product Owners, Product Managers, engineering teams, and technical leads to manage dependencies and alignment.
- Coordinate feature validation planning with teams working across ML frameworks, runtime systems, performance tooling, distributed execution, and infrastructure.
- Help ensure testing, benchmarking, and integration activities are planned early as part of feature development.
- Facilitate communication between teams to identify risks, blockers, and changing priorities.
- Develop sufficient technical understanding of the ML software stack and validation workflows to engage effectively with engineers and stakeholders.
- Help prioritise validation coverage for new features, performance improvements, and software changes.
Essential
- Experience working as a Product Owner (or similar role) in an agile environment.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Strong backlog management and refinement skills.
- Proven experience in developing product vision and roadmaps
- Ability to understand and discuss technical concepts related to software development, testing, or infrastructure.
- Strategic mindset with empathy and ability to bring calm, clarity and support.
- Excellent facilitation skills, ability to guide discussions / events to conclusion
- Ability to simplify and present complex information.
- Confidence working with technical teams and complex systems.
- Experience coordinating work across multiple teams or components.
- Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO)
- Experience of working in SAFe / Scrum@scale
- Experience with Atlassian Tool Suite.
- Experience working with machine learning software, ML infrastructure, or performance benchmarking environments.
In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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.
Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications