Jobs / Fle***
Junior-Mid Software Engineer - Optimisation/Operations Research
Fle*** · London, ENG, United Kingdom
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London, ENG, United KingdomHybrid
Remuneration
Not specified
Location
London, ENG, United Kingdom
Visa sponsorship
Sponsors visa
Job summary
At Fle***, 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.
Benefits
Competitive salary based onGet discounts on brands, cinema tickets, shopping, travel and many more!Season Ticket Loan/Cycle to Work Scheme2 Weeks Work From Anywhere PolicyWhy join usWelcome to Flexciton, where innovation meets impact!We're not just a startup; we're a powerhouse of creativity, at the forefront ofPicture this: our software, crafted by brilliant minds like yours, is shaping thWe're not stopping here.We're scaling up, fast.We've been recognised globally as one of the most disruptive companies, and ourOur strength lies in our people – in a space where ideas flow freely, and every
Responsibilities
- 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.
- Be part of an agile software delivery team building the Fle*** 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.
Skills
Communication
Degrees
AssociateDegree
Work schedule
24/7
Travel
Travel
Industry
AutomotiveEducationEnergyHealthcareLogisticsManufacturingSaas
Company size
SmbStartup
Contract length
2 years