【Mathematical Optimization Engineer】 consulting of AI-based computer systems | Flextime & Hybrid Work | Japanese Business-level

★ Mathematical Optimization Engineer | Featured AI Company

• Business Level Japanese REQUIRED

◆ Listed Company

◆ Hybrid Work

◆ Global Business

◆ Great Welfare

◆ Annual Salary： 8 million ～ 12 million yen.

-------------【About the company】-------------

"Infrastructure + LIFE + Innovation"

The company is a technology venture that can develop AI platforms from scratch.

The technology has been recognized by numerous domestic and international companies and is used to solve "social infrastructure" issues in a variety of fields, including plant optimization, power plant power quantity prediction, and fault detection in large-scale factories, and is expanding its business.

And, with ultra-high data analysis capabilities, the company is working to solve real social problems by creating a system that can infer the meaning of data and its background, and solve real social problems.

-------------【 Job Description】-------------

The Optimization division is seeking a "Mathematical Optimization Engineer" to lead the technical direction of projects. The company provides mathematical optimization solutions and is recruiting a new member as part of an effort to scale up the team responsible for algorithm development utilizing mathematical optimization techniques.

■Background & Job Description

The successful candidate will lead overall operations to solve various client challenges using AI and mathematical optimization techniques.

Project Examples:

・Developing optimization solutions for various planning schedules in the railway and transportation sectors

・Developing optimization solutions for power supply and demand planning

・Developing optimization solutions for vessel scheduling and shipping plans

Responsibilities: (Assigned areas will be discussed based on capability and preference)

・Program design, implementation, and results reporting for optimization engines and solvers

・Integration of optimization engines with core enterprise systems

・Design and implementation of optimization algorithms for SaaS product development

・Requirements gathering and presenting analytical results to clients

・Educational initiatives to upskill internal data scientists and enhance technical capabilities

■Work Environment & Attractiveness

・The company's greatest strength lies in a shared aspiration among all employees to make a positive impact on society. While investing in cutting-edge technologies such as mathematical optimization, machine learning, reinforcement learning, and quantum computing, all team members consistently focus on how these technologies can be sustainably applied in real-world scenarios and infrastructure operations.

・The engineering organization brings together a diverse powerhouse of talent: numerous PhDs in physics, mathematics, and engineering; employees from heavy industries and manufacturers with deep domain knowledge; computer science experts; and seasoned professionals with 20 years of practical experience in mathematical optimization. This enables the company to deliver flexible, robust solutions tailored to the unique needs and constraints of each client.

・Employee success is heavily supported by an extensive repository of project know-how, a broad client network, and ongoing training on the latest technologies led by expert advisors.

・A highly flexible work style is empowered by full-flex and full-remote systems, combined with a casual, open communication culture that allows individuals to operate with high autonomy and freedom.

-------------【 Requirements】-------------

Required

Practical experience using mathematical optimization solvers (Gurobi, SCIP, etc.)

Practical experience using mathematical optimization interfaces (gurobipy, pyomo, OR-Tools)

Preferred

Experience in program development using Python or C++

Experience conducting academic research in mathematical optimization

Experience developing optimization engines using meta-heuristic algorithms

AtCoder Algorithm rating of Light Blue or higher

Experience conducting academic research on heuristic algorithms

Experience in project management

For foreign nationals, Japanese language proficiency at the N2 level or higher

Experience developing in cloud environments such as AWS

Knowledge of domains such as power generation, vessel scheduling, and railways/transportation

Ideal Applicants

Strong desire to solve challenges in the social infrastructure industry through the power of IT.

Ability to take proactive ownership of problem-solving initiatives.

Ambitious mindset eager to take on new challenges across a broad range of domains.

Respectful attitude that can genuinely appreciate the support of team members and peers.

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【Working Hour】

Flextime System

【Holidays】

More than 120 days/year

2 days off per week (Sat. and Sun.)

National holidays, New Year holidays (12/29 - 1/3), etc.

Paid leave and special leave (summer vacation (3 days), congratulation or condolence leave, etc.)

【Welfare】

Health insurance, employee pension, unemployment insurance, and worker's accident compensation insurance are provided.

Subsidy for purchasing technical books: The company purchases books that are not available at the company and that help everyone improve their skills

In-house sports competitions (mountain climbing, fishing, etc.) and engineering camps (hands-on, etc.) (free participation)

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