---
title: 'Product & Yield Engineer (Data-focused) at Fractile'
canonical: 'https://feeny.ai/job/product-yield-engineer-data-focused-fractile-bristol-0f9p7n1xjmmp'
type: 'job'
last_seen: '2026-09-11'
---

# Product & Yield Engineer (Data-focused) at Fractile

- **Company:** Fractile
- **Location:** Bristol, United Kingdom
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.eu.greenhouse.io/fractile/jobs/4959417101

## Job description

## About Fractile

Fractile 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.

The 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.

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 as many of the following areas as possible:
- Wafer fab: analysis of Process Integration, Yield Enhancement, D0 Control, defect reduction and process variation data
- IC Assembly: Assembly Process or Package Design, 3D IC and wafer stacking, Assembly Quality Control, BOM optimisation and Yield Engineering
- Fabless Semiconductor: IC Product Qualification, reliability and failure analysis, RMA investigation and production monitoring
- 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, with the ability to turn complex datasets into clear engineering conclusions
- 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 such as yieldHUB, Spotfire, JMP or equivalent
- Ability to create scripts, automated analyses, dashboards and repeatable analytical workflows for standard engineering investigations and reporting
- Experience applying statistical methods to semiconductor manufacturing data, including SPC, Cp/Cpk, distributions, correlation analysis, hypothesis testing and trend analysis
- Ability to combine data from multiple sources and manufacturing stages to investigate complex product and process issues
- Familiarity with FMEA-derived semiconductor qualification plans and relevant standards such as JEDEC
- Understanding of semiconductor failure analysis methods and the ability to use analytical data to guide selection of destructive and non-destructive investigation techniques
- Strong ability to communicate analytical findings through concise visualisations, reports and technical presentations
- Comfortable working independently on ambiguous technical problems and driving investigations from initial data exploration through to a supported conclusion
- 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: A 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. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment.

Fractile 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!

Export controls

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. We'll be transparent about this throughout the hiring process.

-

## About Fractile

## Company Overview
- **One-liner**: Fractile builds chips, systems, and software to radically improve the speed and cost of running frontier AI inference, targeting up to 25x faster performance at 1/10th the cost.
- **Entity Type**: Private (Series B)
- **Headquarters**: London & Bristol, United Kingdom
- **Founded**: 2022
- **Founders**: Walter Goodwin (CEO)

## Core Business
- **Primary industry**: AI hardware acceleration, computer hardware manufacturing
- **Target customers**: B2B – enterprise cloud providers, AI labs, and organizations running large-scale frontier model inference
- **Mission**: "Build the engine that can power the next generation of AI" by removing every bottleneck to the fastest possible inference of the largest transformer networks.

## Products & Services
- **Fractile AI Accelerator Processor**: A new class of processor that physically interleaves memory and compute to deliver low latency and high throughput simultaneously. Designed to serve thousands of tokens per second to thousands of concurrent users at a fraction of the power and cost of existing hardware. (Hardware + full-stack software)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of **$243.8M** (per LinkedIn) or **$266.4M** (per CB Insights – conflicting reports); most recent round was a **$220M Series B** in May 2026 led by Accel, with participation from Factorial Funds and Founders Fund.
- **Notable Investors/Partners**: Accel, Factorial Funds, Founders Fund (Peter Thiel), Oxford Science Enterprises, Kindred Capital, Patrick Gelsinger (former Intel CEO), ARIA
- **Growth Signals**: Headcount grew **+171.4% YoY** to 66 employees; **+56.8% monthly LinkedIn follower growth**; **53 active job postings** (up 2550% year-over-year); expanding into a new hardware test site and growing offices in Bristol and London.

## Competitive Advantages
- **Full-stack approach**: Team spans transistor-level circuit design up to cloud inference server logic, enabling tight integration across silicon, systems, and software.
- **Novel architecture**: Interleaving memory and compute solves the memory-wall bottleneck that limits existing hardware, allowing simultaneous low latency and high throughput for frontier models.
- **Focus on inference (not training):** Addresses the exploding demand for token processing (10x/year growth) with a purpose-built solution for inference workloads.

## Strategic Focus
- Scale the engineering team across hardware and software disciplines (Rust, ML runtime, silicon design, board test, manufacturing operations).
- Expand physical infrastructure (new hardware test site in Bristol).
- Deploy the first generation of processors to enable new workloads like long-context autonomous agents and real-time AI reasoning.

## Why Work Here
- **Culture**: Deeply collaborative, no silos, no handoffs – engineers work across the full stack from transistor to cloud in a flat, mission-driven environment.
- **Locations**: Modern, open-plan offices in central Bristol and central London with excellent transport links.
- **Growth**: High-growth startup with strong funding and a clear trajectory; opportunity to work on one of the most impactful technical challenges in AI.
- **Team**: Composed of world-class technologists, many from companies like Graphcore, Imagination Technologies, and Cisco.
- **Remote/Hybrid**: Not explicitly stated, but hardware-focused roles (silicon, test, manufacturing) suggest a strong on-site presence; software roles may offer flexibility.

## Sources
1. [fractile.ai](https://www.fractile.ai/) – Company website
2. [fractile.ai/about](https://www.fractile.ai/about) – About page, team, culture
3. [fractile.ai/jobs](https://www.fractile.ai/jobs) – Open positions and work philosophy
4. [uk.linkedin.com/company/fractile](https://uk.linkedin.com/company/fractile) – LinkedIn company page (funding, headcount, growth)
5. [cbinsights.com/company/fractile](https://www.cbinsights.com/company/fractile) – CB Insights profile (funding details, patents, headquarters)

## Other roles at Fractile

- [Infrastructure Software Engineering – Platform & Build 1](https://feeny.ai/job/infrastructure-software-engineering-platform-build-1-fractile-london-8py3rwe9a22a) — London, United Kingdom
- [Lead RTL Designer (PPA Experience)](https://feeny.ai/job/lead-rtl-designer-ppa-experience-fractile-london-v7tb393epzj8) — London, United Kingdom
- [Infrastructure Engineer (Linux)](https://feeny.ai/job/infrastructure-engineer-linux-fractile-london-wf39d8qcrs18) — London, United Kingdom / Bristol, United Kingdom
- [Product & Yield Engineer (Data-focused)](https://feeny.ai/job/product-yield-engineer-data-focused-fractile-london-01d227xazs8j) — London, United Kingdom
- [DRAM Product Engineer](https://feeny.ai/job/dram-product-engineer-fractile-bristol-nnksz0zaqnsd) — Bristol, United Kingdom
- [Engineering Manager - Compilers](https://feeny.ai/job/engineering-manager-compilers-fractile-london-7jmh8904r5mz) — London, United Kingdom / Bristol, United Kingdom
- [Developer Experience / DevEx](https://feeny.ai/job/developer-experience-devex-fractile-london-4r0qtvaa55gk) — London, United Kingdom
- [Member of Technical Staff - Security Engineering](https://feeny.ai/job/member-of-technical-staff-security-engineering-fractile-london-kdbxzfb0y24f) — London, United Kingdom / Bristol, United Kingdom
- [Developer Experience / DevEx](https://feeny.ai/job/developer-experience-devex-fractile-bristol-2wmefvt5bhap) — Bristol, United Kingdom
- [Silicon Infrastructure Engineer](https://feeny.ai/job/silicon-infrastructure-engineer-fractile-london-jyxn5eg59r80) — London, United Kingdom