Fractile on cord

Fractile

Product & Yield Engineer

External position
Bristol, UK
Hiring internally for Fractile?
Semiconductors · Hardware · Machine Learning and AI
Fractile is building chips that remove every bottleneck to running large language models at a global scale
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
6 hours ago

Skills & Experience

Job roles: Back End
Experience level: Mid, Senior
Core skills considered: Data Analysis, Data Mining, Python, SQL
Other skills considered: Automations, Data Pipelines, APIs

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

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
Product & Yield Engineer at Fractile
Position posted 2 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
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