Junior-Mid Software Engineer - Optimisation/Operations Research
Greater London, England, United Kingdom · Hybrid
Entry level$29M raised
At Flexciton, we work with high-tech factories built with investments worth hundreds of millions of dollars, producing advanced chips at the atomic level. It can take up to nine months to fabricate these cutting-edge pro…
Skills: Linear programming, Mixed integer linear programming, Heuristic search, Discrete event simulation, Python
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Junior-Mid Software Engineer - Optimisation/Operations Research
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Full-time
bachelor degree
Stock options, Training allowance, Hybrid working model, Breakfasts and snacks, Monthly lunches, Quarterly team activity
Posted 62d ago
~40 hrs/week
Responsibilities
You will research and implement scheduling models and algorithms using methods like LP and MILP to optimize semiconductor manufacturing. Additionally, you will collaborate with customer-facing teams to trial these solutions in real-world fabrication plants.
Requirements
Candidates must hold a university degree in computer science, operations research, engineering, mathematics, or physics. You should have 0-2 years of experience and a strong understanding of software engineering, algorithms, and optimization methods.
Full job description
At Flexciton, we work with high-tech factories built with investments worth hundreds of millions of dollars, producing advanced chips at the atomic level. It can take up to nine months to fabricate these cutting-edge products.
We are proud to be the only SaaS product in the world that plans and schedules production in high-tech semiconductor fabs, using complex algorithms in real-time, all from our London office.
Our technology consistently delivers the best production schedules, and leading companies like Seagate trust Flexciton to run their production 24/7. With operations across the US, Europe, and expansion into Asia, we are on a path to realise our vision for the Autonomous Factory.
Job Summary
We're seeking an optimisation engineer to join our tight-knit software development team. We are working towards one common goal: to automate and optimise decision-making across the chipmaking industry. As a member of the team, you will build innovative scheduling models and algorithms within a SaaS platform that already serves some of the most advanced factories in the world.
Key Responsibilities
Be part of an agile software delivery team building the Flexciton app suite for scheduling and planning semiconductor operations.
Research and implement new methods for tackling interesting combinatorial problems using approaches such as Linear Programming (LP), Mixed Integer Linear Programming (MILP).
Develop heuristic search and discrete event simulation algorithms.
Partner with customer-facing teams to trial the developed solutions live in some of the world’s most advanced semiconductor fabrication plants
Characterise quality and performance of different modelling approaches using benchmarks and data analytics.
Required Experience
University degree in computer science, operations research, engineering, mathematics, physics or related.
0-2 years of relevant experience (or recent graduate with strong academic background in optimisation)
An interest or experience in exact or heuristic optimisation methods for solving combinatorial problems such as LP, MILP, constraint programming, metaheuristics.
Understanding of software engineering, algorithms and data structures.
Experience in Python or another object-oriented programming language.
Eagerness to communicate complex technical concepts clearly.
Ability to balance mathematical rigour with an appetite to ship software and learn via iteration.
The following are a plus but not required:
Experience working with solvers like CPLEX, Gurobi, FICO etc.
Experience with scheduling and planning problems in other domains (e.g. logistics, energy)
Experience with Rust
Above all, we are looking for curious and motivated individuals that are eager to grow while changing the face of semiconductor manufacturing. If this sounds like you, even if you don’t feel like you meet all the criteria above, apply today and help us build the future.
Benefits
Competitive salary based on skills and experience
Stock Options 💰 so when we make it big - so do you!
L&D Opportunities 📚
We are determined to continuously develop ourselves, our company and our teams. We have a £500 training allowance for every employee. We also have our mini library where we keep adding books every week. We want to be able to create as many opportunities for our teams' growth .
Hybrid working model of 3 days in the office (Monday, Tuesdays and Fridays) and 2 days working from home.
Breakfasts and Snacks 🍩 🍪 🍫 Our office is stocked with snacks, drinks, fruits, cereal.
Monthly lunches 🍕in the office
Quarterly team activity or dinner 🍽.
Annual Team Trip 🌍 Every year, we take our team to an annual retreat where we have strategy workshops, foster our culture and do lots of fun activities.
Additional day of holiday every year (up to 30 days) after two years of service.
Discounts with Charlie HR perks 🤑 Get discounts on brands, cinema tickets, shopping, travel and many more!
Season Ticket Loan/Cycle to Work Scheme 🚴
2 Weeks Work From Anywhere Policy 💻
Why join us
Welcome to Flexciton, where innovation meets impact! We're not just a startup; we're a powerhouse of creativity, at the forefront of revolutionising the semiconductor industry. Picture this: our software, crafted by brilliant minds like yours, is shaping the very devices you're using right now.
We're not stopping here. We're scaling up, fast. We've been recognised globally as one of the most disruptive companies, and our potential is limitless. Our strength lies in our people – in a space where ideas flow freely, and every voice, including yours, can shape the future.
What we do matters. The factories we optimise create the technology that defines our world, from healthcare breakthroughs to cutting-edge communication devices. Join us, and you're not just joining a team; you're becoming a part of progress, a force that's transforming industries and leaving a mark on the world.
At Flexciton, your passion, your ideas, and your hard work don't just contribute; they drive us forward. There has never been a more exciting time to be a part of our story. Join us, and let's create a future where your innovations don't just matter – they inspire.
At Flexciton, we celebrate diversity and thrive in an inclusive atmosphere. We wholeheartedly embrace equal employment opportunities and believe in making our recruitment process accessible to all. Your unique abilities and perspectives are valued here. If you require any accommodations due to a disability or specific needs, please don't hesitate to inform us. Your comfort and success are our priority. Welcome to a place where everyone belongs.
Powering your autonomous factory transition with intelligent planning and scheduling.
Industry
Semiconductor Manufacturing
Company size
11-50 employees
Founded
2016
Headquarters
London, London
LinkedIn followers
6,321
Total funding
$29M
Flexciton partners with semiconductor manufacturers to power their journey towards the autonomous factory.
Our suite of intelligent planning and scheduling applications combines advanced optimisation with the power of AI to dramatically improve performance and labour efficiency.
By orchestrating complex factory workflow, Flexciton empowers chipmakers to achieve a new level of operational excellence, resulting in increased throughput and reduced costs.
Flexciton’s expertise is confirmed by 3 patents in mathematical optimization and the largest team of experts in the industry. Our clients include leading manufacturers such as Seagate Technology, Renesas, and Microchip.
Are you interested in joining a world-class team of engineers, scientists and commercial minds that are paving the way for tomorrow’s tech?
Visit careers.flexciton.com to view our vacancies, or get in touch with us at [email protected]
Offices: 142 Old Street, First Floor, London, London EC1V 9BW, GB
Optimizationdata-driven modellingSemiconductorswafer fab schedulingsmart schedulingAI-driven schedulingwafer fab performanceand wafer fab planningSemiconductorArtificial Intelligence
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