← All roles

Product & Yield Engineer (Data-focused)

Fractile· Manufacturing Operations
Apply on company site
BristolPosted 2mo ago

About the role

Engineer role focusing on product, yield and manufacturing data analysis for Fractile's silicon products, spanning NPI, Yield Engineering and Product Quality to identify trends, isolate sources of variation, improve yield and reliability, and provide actionable technical insights.

Responsibilities

  • 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.
  • Work across New Product Introduction (NPI), Yield Engineering and Product Quality.
  • Turn analysis into actionable engineering conclusions.
  • Communicate analytical findings through concise visualisations, reports and technical presentations.
  • Travel worldwide when needed.

Qualifications

  • 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 areas as listed
  • Strong knowledge of WAT, WS/CP and FT datasets with cross-stage correlation
  • Excellent data mining, statistical analysis and root-cause investigation skills
  • Experience identifying yield signatures, distributions, outliers, spatial patterns, lot-to-lot variation and failure mechanisms
  • Hands-on use of yield analysis tools (yieldHUB, Spotfire, JMP or equivalent)
  • Ability to create scripts, automated analyses, dashboards and repeatable workflows
  • Statistical methods for semiconductor data (SPC, Cp/Cpk, distributions, correlation, hypothesis testing, trend analysis)
  • Ability to combine data from multiple sources and manufacturing stages
  • Familiarity with FMEA-derived qualifier plans and JEDEC standards
  • Understanding of failure analysis methods and use of data to guide investigative techniques
  • Strong communication and collaboration skills
  • Self-starter with ability to manage multiple investigations in parallel
  • Willingness to travel worldwide

Skills

Required:Semiconductor data analysisData mining and statistical analysisYield analysis tools
Nice to have:SQL / Python data analysisFailure analysis & FMEAJEDEC standards

Benefits

  • Competitive salary reflective of experience
  • Equity & Ownership
  • Private Medical, Dental and Vision, Contributory Pension
  • 25 Days holiday plus bank holidays and Life/Critical Illness Insurance
  • Diverse & inclusive office environment
Last updated Aug 27, 2026. Interested? Apply on the company site.
Fractile logo

About Fractile

Radically Accelerate Frontier Model Inference

Fractile is designing AI compute systems that will enable the next generation of AI scaling: frontier model inference, 25x faster, at 1/10th the cost.

frontier model inferenceAI computecompute systemsAI scalinginference hardwareprocessor innovation
Company profileWebsite

More open roles at Fractile