{"id":3783084,"url":"https://alion.io/job/fractile-product-yield-engineer-data-focused-3","title":"Product & Yield Engineer (Data-focused)","company":{"id":51523,"name":"Fractile","domain":"fractile.ai","url":"https://alion.io/company/fractile","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Semiconductors","role_family":"Semiconductors","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"FMEA","optional":false},{"name":"JMP","optional":false},{"name":"Statistical Process Control","optional":false},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-28T14:28:29Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-08T10:02:08Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"About Fractile\nFractile was founded in 2022 on the bet that, eventually, the world’s most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts.\nThe workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. 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, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. \nWe 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.\nSkills and Experience\nDemonstrable 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\n\nStrong experience analysing semiconductor manufacturing and test data to identify trends, correlations, excursions, yield loss mechanisms and opportunities for improvement\n\nSolid experience in as many of the following areas as possible:\nWafer fab: analysis of Process Integration, Yield Enhancement, D0 Control, defect reduction and process variation data\n\nIC Assembly: Assembly Process or Package Design, 3D IC and wafer stacking, Assembly Quality Control, BOM optimisation and Yield Engineering\n\nFabless Semiconductor: IC Product Qualification, reliability and failure analysis, RMA investigation and production monitoring\n\nStrong knowledge of WAT, WS/CP and FT datasets, including correlation across manufacturing and test stages\n\nExcellent data mining, statistical analysis and root-cause investigation skills, with the ability to turn complex datasets into clear engineering conclusions\n\nExperience identifying yield signatures, parameter distributions, outliers, spatial patterns, lot-to-lot variation and systematic versus random failure mechanisms\n\nExtensive hands-on use of semiconductor industry data analysis tools and software such as yieldHUB, Spotfire, JMP or equivalent\n\nAbility to create scripts, automated analyses, dashboards and repeatable analytical workflows for standard engineering investigations and reporting\n\nExperience applying statistical methods to semiconductor manufacturing data, including SPC, Cp/Cpk, distributions, correlation analysis, hypothesis testing and trend analysis\n\nAbility to combine data from multiple sources and manufacturing stages to investigate complex product and process issues\n\nFamiliarity with FMEA-derived semiconductor qualification plans and relevant standards such as JEDEC\n\nUnderstanding of semiconductor failure analysis methods and the ability to use analytical data to guide selection of destructive and non-destructive investigation techniques\n\nStrong ability to communicate analytical findings through concise visualisations, reports and technical presentations\n\nComfortable working independently on ambiguous technical problems and driving investigations from initial data exploration through to a supported conclusion\n\nGood communication skills and a collaborative, team-player attitude\n\nSelf-starter, flexible and able to manage multiple analyses and investigations in parallel\n\nWilling and able to travel worldwide when needed\n\nDesirable\nExperience building automated semiconductor yield-monitoring, reporting or anomaly-detection workflows\n\nExperience working with large semiconductor datasets using SQL, Python or similar data-analysis tools\n\nExperience developing dashboards, standard analytical journals or reusable engineering analysis frameworks\n\nMulti-cultural awareness, including experience working with Far East suppliers and manufacturing partners\n\nA Bachelor's degree or above in Electronics, Microelectronics, Semiconductor Physics, Engineering or a similar discipline\n\nWhat We Offer\nCompetitive salary: A competitive salary reflective of your experience and the specialist nature of the role.\n\nEquity & Ownership: meaningful equity so everyone shares in the value creation\n\nBenefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance.\n\nDiverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment.\n\nFractile is seeking to increase the clock speed of global progress, one chip at a time. We’ve recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us!\n Export controls\nOur 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. We'll be transparent about this throughout the hiring process.","description_format":"text","description_chars":6114,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Foundation Models","AI Compute & Inference","AI Chips & Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-05T01:59:07Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":10,"expected_fill_days":160,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/fractile-product-yield-engineer-data-focused-3","json_url":"https://alion.io/job/fractile-product-yield-engineer-data-focused-3.json","meta":{"generated_at":"2026-11-08T11:08:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23958,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":51523},"rest":"https://alion.io/mcp/rest/get_company?id=51523"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractile-product-yield-engineer-data-focused-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffractile-product-yield-engineer-data-focused-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffractile-product-yield-engineer-data-focused-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fractile-product-yield-engineer-data-focused-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractile-product-yield-engineer-data-focused-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3783084}},{"tool":"search_jobs","arguments":{"company":"fractile.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3783084},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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