Optimization Engineer

ALICE Technologies

1d•Remote

About The Position

ALICE Technologies is the world's first AI construction simulation and optimization platform. We leverage the computational power of AI to generate the best schedules and solutions for complex projects at each stage of the project lifecycle, from bidding to preconstruction and through execution. With ALICE, contractors and owners can bid, plan, and build more effectively. When a project team uses ALICE, they are able to drastically reduce risk of delay or cost overrun, while accelerating construction durations by an average of 16.2% and reducing labor costs by 14.7%, resulting in millions of dollars in savings. ALICE works with leading contractors to solve their most pressing construction challenges on some of the most complex projects in the world such as bridges, roadways, tunnels, solar farms, and high-rise buildings.

Requirements

Master’s or PhD in Operations Research, Computer Science, Applied Mathematics, or a related quantitative field.
Strong proficiency formulating Mixed Integer Programming (MIP) and Constraint Programming (CP) models.
Hands-on experience with solvers like Gurobi, CPLEX, OR-Tools, or Hexaly.
Professional experience building and maintaining software used by real customers.
Professional fluency in English.

Nice To Haves

Academic or industry experience specifically tackling intractable resource-constrained scheduling problems.
Experience with JVM-based optimization libraries (e.g., OptaPlanner/Timefold, OR-Tools Java API).
Experience building production services on the JVM (Spring Boot, Maven/Gradle, containerized deployments).
Strong background in Agile methodologies and Test-Driven Development (TDD).
Proficiency in modern Java.

Responsibilities

Formulate and implement optimization models (MIP, CP, and custom heuristics) for resource-constrained scheduling problems.
Take algorithms from mathematical formulation and prototyping through to benchmarking, tuning, and production delivery.
Profile and improve the speed, scalability, and robustness of the scheduling engine on real-world customer projects.
Partner with product and software engineering teams to translate real-world construction workflows into precise technical requirements.
Maintain high engineering standards through code reviews, rigorous testing, and continuous architectural improvement.