Junior-Mid Software Engineer - Optimisation/Operations Research

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.

• 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.

• 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.