Engineer (Semiconductor Manufacturing)

Location: London - JJ Mack or Bristol - The Crescent, United Kingdom; worldwide travel may be required.

Company

hirify.global develops chips and systems designed to accelerate inference for frontier AI models, with a focus on generating outputs at high speed and operating large models over long contexts.

What you will do

• Analyse large and complex product, yield, manufacturing and test datasets across New Product Introduction, Yield Engineering and Product Quality.
• Identify trends, correlations, excursions, yield-loss mechanisms, parameter distributions, outliers, spatial patterns and lot-to-lot variation.
• Investigate product and process issues across wafer fabrication, IC assembly, packaging, testing and high-volume production.
• Develop scripts, automated analyses, dashboards and repeatable workflows for engineering investigations and reporting.
• Guide root-cause investigations, reliability and failure analysis, qualification activities and selection of destructive or non-destructive investigation techniques.
• Communicate technical findings through visualisations, reports and presentations while collaborating with engineering teams and manufacturing partners.

Requirements

• Demonstrable semiconductor-industry experience in Product Engineering, Test Engineering, Yield Engineering, Data Analytics or Quality Engineering, ideally from NPI through high-volume production.
• Strong experience analysing semiconductor manufacturing and test data, including WAT, WS/CP and FT datasets and correlations across manufacturing and test stages.
• Experience with wafer-fab data, including Process Integration, Yield Enhancement, D0 Control, defect reduction and process variation; IC assembly and package design, 3D IC and wafer stacking, assembly quality and yield engineering; or fabless semiconductor qualification, reliability, failure analysis, RMA investigation and production monitoring.
• Excellent data-mining, statistical-analysis and root-cause-investigation skills, including SPC, Cp/Cpk, distributions, correlation analysis, hypothesis testing and trend analysis.
• Hands-on experience with semiconductor data-analysis tools such as yieldHUB, Spotfire, JMP or equivalent.
• Ability to combine data from multiple manufacturing stages and sources and turn complex datasets into clear engineering conclusions.
• Understanding of semiconductor failure-analysis methods, FMEA-derived qualification plans and relevant standards such as JEDEC.
• Ability to work independently on ambiguous technical problems, manage multiple investigations and communicate effectively in a collaborative environment.
• Willingness and ability to travel worldwide when needed.

Nice to have

• Experience building automated semiconductor yield-monitoring, reporting or anomaly-detection workflows.
• Experience using SQL, Python or similar data-analysis tools with large semiconductor datasets.
• Experience developing dashboards, standard analytical journals or reusable engineering-analysis frameworks.
• Multicultural 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.

Culture & Benefits

• Full-time role with a diverse and inclusive office environment.
• Competitive salary reflecting experience and the specialist nature of the role.
• Meaningful equity and ownership participation.
• Private medical, dental and vision coverage, contributory pension, 25 days of holiday plus bank holidays, and life/critical illness insurance.
• Export-control eligibility checks may be required because the work involves technologies subject to UK, US and other international regulations.