Mathematical Software Engineer

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture make Syndicode’s success continuous. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and are able to analyze a variety of sources to make sound and timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

Our team is building an internal tool for a major construction company to help their teams design and evaluate complex layouts while accounting for real-world constraints. The product combines robust engineering logic with an interactive 3D view in the browser, making it easier for users to explore design options and estimate key building parameters, including costs. In this role, you’ll work on the mathematical core of the system—refining existing models and developing new algorithms that make the application faster, smarter, and more accurate.

• Mathematical Model Development: Design, develop, and implement mathematical models and algorithms to solve complex problems in engineering, data analysis, optimization, and related domains.
• Python Software Development: Translate mathematical models and algorithms into high-performance, reliable, and efficient Python code. Ensure clean architecture, solid coding practices, and optimal performance.
• Data Analysis and Interpretation: Utilize mathematical and statistical methods to analyze large datasets, identify patterns, and refine models based on the insights gained.
• Collaboration: Work closely with cross-functional teams—including developers and domain experts—to understand requirements, troubleshoot issues, and deliver integrated solutions.
• Testing and Validation: Perform rigorous testing and validation of mathematical models and their Python implementations to ensure accuracy, reliability, and efficiency.
• Documentation: Create clear, thorough documentation for models, algorithms, and code implementations
• Research and Innovation: Stay up to date with advancements in mathematics and computational techniques to enhance existing solutions and introduce new approaches.

• Experience: At least 3 years of professional experience in mathematical modeling, algorithm development, or optimization-focused software engineering.
• Mathematical Expertise: Strong foundation in areas such as numerical analysis, linear algebra, calculus, statistics, probability, optimization, and related mathematical disciplines.
• Python: Minimum of 2 years of experience, with expertise in object-oriented programming, data structures, algorithms, and performance optimization.
• Computational geometry for coordinating transformations, polygon operations, or spatial reasoning.
• Analytical Thinking: Strong problem-solving skills with the ability to break down complex challenges into actionable components.
• Attention to Detail: High level of accuracy and precision in developing and validating mathematical models and code.
• Communication: Ability to clearly explain complex mathematical and technical concepts to both technical and non-technical audiences.
• Education: Bachelor’s, Master’s, or Ph.D. in Mathematics, Computer Science, Engineering, or a related quantitative field.
  

• FastAPI (or similar frameworks): Experience building RESTful APIs and exposing mathematical models and algorithms as scalable web services.
• AWS: Familiarity with cloud infrastructure services for deployment, scalability, and management of computational resources in production environments.

• Fully remote job
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world’s and market changes.