
Graphcore · Bristol
About the job Turn complex manufacturing data into higher yield, stronger quality and better products at scale. As Principal Product Engineer, you will help G...
About the job
Turn complex manufacturing data into higher yield, stronger quality and better products at scale.
As Principal Product Engineer, you will help Graphcore manufacture advanced products with optimised yield, quality and cost. You
will guide product performance through launch, production ramp and sustained high volume manufacturing.
Your work will influence chip manufacturing, test, PCBA and system level production. You will help teams find the signals that
improve reliability, reduce cost and protect quality.
You will partner with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. Together, you will
release new products and solve difficult yield, test and manufacturing challenges.
This role suits someone who enjoys deep technical ownership and practical impact. You will turn manufacturing data into action
across silicon, boards, blades and rack scale systems.
The team and culture
You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the
US and Taiwan, working close to products and production partners.
Work happens through direct ownership, technical depth and clear decisions. You will define best practice, challenge assumptions
and move quickly when yield or quality needs attention.
The team connects silicon, board level assemblies, server blades and rack scale systems. Decisions are grounded in data,
engineering judgement and accountability for manufacturing outcomes.
What we're looking for
While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our
essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate.
Benefits
support your day
dental cover
We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can
do their best work.
We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any
adjustments during the interview process, just let us know - we’re happy to support you.
Sponsorship
Applicants must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship or support visa
applications for this role.
Join the Team at Graphcore
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 brings together deep expertise to
solve complex problems and deliver meaningful progress in AI compute.
If you want to turn manufacturing insight into better products at scale, we’d love to hear from you. Apply now to help shape
product engineering at Graphcore.
About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. The Tripadvisor Experiences Engineering team is distributed across Europe and is responsible for the platform, mobile apps and all their supporting infrastructure. We run the systems that help operators build their businesses and those which enable third parties to utilise our inventory. We provide the tools which help our customer services team provide world class service to travellers and operators internationally. About the role We're looking for a Principal Product Engineer who pairs deep engineering craft with strong product instincts. You'll work across the stack - mobile, web, backend - wherever the highest-leverage problem happens to live that quarter. You don't wait for a perfectly scoped ticket; you partner with product, design, and data to figure out what's worth building, then ship it end-to-end. We expect breadth. We also expect real depth in the mobile app ecosystem - our customer-facing experiences live there. But we're not hiring a mobile only specialist. We're hiring a generalist with mobile chops who can lead an iOS architecture review on Tuesday and untangle a backend latency regression on Wednesday. What you'll do * Identify, scope, and ship the changes that move business metrics - across mobile, web, services, and data layers * Architect long-lasting systems that hold up under real production conditions: performance, reliability, scalability, offline behavior, consistency * Lead technical design reviews across teams, weighing trade-offs not just in code but in product impact, time-to-ship, and operational cost * Drive operational maturity wherever it's weakest - release management, observability, incident response, performance monitoring - including in the mobile apps * Partner with PMs, designers, and engineering leaders to shape what we build, why, and in what order; you're a peer in those conversations, not a downstream implementer * Set the technical bar for the org by example: write the prototype, prove the pattern, then teach it * Communicate trade-offs clearly to engineers, product partners, and senior stakeholders What we're looking for * 10+ years of software experience, with significant time still spent hands-on in code - track record of shipping product-impacting work end-to-end, not just owning a layer * Real depth in the mobile app ecosystem (iOS and/or Android, with strong fluency in Swift and/or Kotlin and the surrounding ecosystem - offline sync, push, auth, persistence, networking, REST/GraphQL) - and credible breadth beyond it * Demonstrated breadth: you've worked seriously in at least one of {web frontend, backend services, data/infra, platform tooling} alongside mobile, and can hold your own in code review there * Strong product judgment: you've made calls about what not to build, and can defend them with evidence * Comfort troubleshooting in production across stacks - crash analysis, latency tracing, release-health debugging * Excellent cross-functional collaboration; you make the people around you better Nice to have * Background in marketplaces, bookings, or other transactional consumer products * Time spent close to data - experimentation, analytics instrumentation, or ML-adjacent work Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #LI-SM1 #LI-Remote #LI-Hybrid
About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. What You will do: * Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. * Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. * Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. * Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. * Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. * Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. * Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. * Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. * Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. * Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Skills & Experience: * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). * Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). * Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: * Advanced programming background with the ability to build simulations and prototype data products. * Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). * Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. * Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. * Masters degree or equivalent relevant programs We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #LI-Remote #LI-SM1
About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. What You will do: * Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. * Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. * Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. * Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. * Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. * Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. * Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. * Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. * Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. * Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Skills & Experience: * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). * Product Acumen: Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). * Scaling Impact: Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: * Advanced programming background with the ability to build simulations and prototype data products. * Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). * Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. * Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. * Masters degree or equivalent relevant programs We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #LI-Remote #LI-SM1