At a Glance
- Tasks: Analyse semiconductor data to improve product yield and reliability while solving complex technical problems.
- Company: Fractile, a cutting-edge tech company revolutionising AI hardware.
- Benefits: Competitive salary, equity options, private medical, and 25 days holiday.
- Other info: Diverse and inclusive workplace with opportunities for global travel.
- Why this job: Join a dynamic team tackling transformative challenges in the semiconductor industry.
- Qualifications: Experience in semiconductor engineering and strong data analysis skills required.
The predicted salary is between 59400 - 72600 £ per year.
About Fractile: Fractile was founded in 2022 on the bet that the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We are building chips and systems that tackle the problem of efficiently generating output at thousands of tokens per second while handling the complexity and capacity challenges of operating large models at very long contexts.
The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, software engineering, materials discovery, and any field where progress is driven by deep reasoning and intelligence to resolve complex problems.
We are looking for an Engineer to play a key role in the development and manufacture of Fractile's silicon products, with a particular focus on product, yield, and manufacturing data analysis. Working across New Product Introduction (NPI), Yield Engineering, and Product Quality, you will analyse large and complex semiconductor datasets to identify trends, isolate sources of variation, improve yield and reliability, and provide clear technical insight to engineering teams and manufacturing partners. This is a highly hands-on individual contributor role for someone who enjoys working directly with data, investigating complex technical problems, and turning analysis into actionable engineering conclusions.
Skills and Experience:
- Demonstrable experience within the semiconductor industry in Product Engineering, Test Engineering, Yield Engineering, Data Analytics, or Quality Engineering, ideally spanning NPI through to high-volume production.
- Strong experience analysing semiconductor manufacturing and test data to identify trends, correlations, excursions, yield loss mechanisms, and opportunities for improvement.
- Solid experience in wafer fab, IC assembly, and fabless semiconductor processes.
- Strong knowledge of WAT, WS/CP, and FT datasets, including correlation across manufacturing and test stages.
- Excellent data mining, statistical analysis, and root-cause investigation skills.
- Experience identifying yield signatures, parameter distributions, outliers, spatial patterns, lot-to-lot variation, and systematic versus random failure mechanisms.
- Extensive hands-on use of semiconductor industry data analysis tools and software.
- Ability to create scripts, automated analyses, dashboards, and repeatable analytical workflows.
- Experience applying statistical methods to semiconductor manufacturing data.
- Ability to combine data from multiple sources and manufacturing stages.
- Familiarity with FMEA-derived semiconductor qualification plans and relevant standards.
- Understanding of semiconductor failure analysis methods.
- Strong ability to communicate analytical findings through concise visualisations, reports, and technical presentations.
- Comfortable working independently on ambiguous technical problems.
- Good communication skills and a collaborative, team-player attitude.
- Self-starter, flexible, and able to manage multiple analyses and investigations in parallel.
- Willing and able to travel worldwide when needed.
Desirable:
- Experience building automated semiconductor yield-monitoring, reporting, or anomaly-detection workflows.
- Experience working with large semiconductor datasets using SQL, Python, or similar data-analysis tools.
- Experience developing dashboards, standard analytical journals, or reusable engineering analysis frameworks.
- Multi-cultural awareness, including experience working with Far East suppliers and manufacturing partners.
- A Bachelor's degree or above in Electronics, Microelectronics, Semiconductor Physics, Engineering, or a similar discipline.
What We Offer:
- Competitive salary reflective of your experience and the specialist nature of the role.
- Equity & Ownership: meaningful equity so everyone shares in the value creation.
- Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays, and Life/Critical Illness Insurance.
- Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds.
Fractile is seeking to increase the clock speed of global progress, one chip at a time. Join us!
Our work involves technologies subject to UK, US, and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law.
Product & Yield Engineer (Data-focused) employer: Fractile
Fractile is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to make impactful contributions in the rapidly evolving field of AI. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work alongside talented teams in a performance-driven environment. Located in a vibrant tech hub, our team enjoys not only competitive benefits but also the unique advantage of being at the forefront of technological advancements.