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Future MIP Development Scholar (Global Remote) - Job Opportunity at Gurobi Optimization

Remote, FR
Full-time
Entry-level
Posted: July 23, 2025
Remote
EUR 45,000-55,000 annually for the training period, with potential progression to EUR 70,000-90,000+ upon completion based on specialization path chosen (development roles typically command higher compensation than support roles in the optimization software industry)

Benefits

Comprehensive 2-year structured training program providing deep expertise in mathematical optimization and MIP algorithms
Global remote work flexibility allowing work-life balance and access to international talent pool
Cross-departmental rotation exposure providing holistic understanding of optimization software business
Direct mentorship from industry-leading MIP algorithm developers and technical experts
Professional development through conference presentations and technical publication opportunities
Access to cutting-edge optimization research and real-world problem-solving challenges

Key Responsibilities

Drive customer success by serving as critical technical liaison between Gurobi and global enterprise customers, directly impacting customer retention and product adoption
Lead algorithmic innovation by designing, implementing, and benchmarking new MIP solver capabilities that enhance Gurobi's competitive market position
Ensure product reliability and market leadership by proactively identifying and resolving critical software bugs that could impact enterprise customer operations
Shape industry knowledge by creating technical documentation, articles, and presentation materials that establish Gurobi's thought leadership in optimization
Influence product roadmap by conducting computational experiments and performance analysis that guide strategic development decisions
Build community engagement through active participation in user forums and technical conferences, strengthening Gurobi's developer ecosystem

Requirements

Education

Master's degree in operations research, computer science, or similar discipline/experience (Ph.D. preferred)

Experience

Entry-level to 2 years

Required Skills

Proficient in both written and verbal English Proficient in one or more programming languages like Python, Java, C, or C++ Passion for programming Ability to self-educate from online material and trial-and-error exercises Excellent communication skills to convey technical information clearly to both technical and non-technical stakeholders Linear algebra theory knowledge Basic system administration skills (Linux) Strong commitment to continuous learning Strong problem-solving skills and the ability to diagnose and resolve complex issues in a timely manner Demonstrated ability to work autonomously and effectively manage tasks and projects without constant supervision
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Sauge AI Market Intelligence

Industry Trends

The mathematical optimization software market is experiencing rapid growth driven by increased adoption of AI and machine learning applications across industries, creating high demand for professionals who can bridge theoretical optimization with practical implementation. Companies are increasingly recognizing that complex decision-making problems require sophisticated mathematical modeling, leading to expanded use cases in supply chain, finance, logistics, and resource allocation. There is a significant talent shortage in the intersection of operations research, computer science, and software engineering, particularly for professionals who can work on core algorithm development for commercial optimization solvers. This scarcity is driving companies to create structured development programs and apprenticeships to build internal expertise. The shift toward cloud-based and API-first optimization services is creating new career paths that combine traditional OR skills with modern software development practices, making roles like this increasingly valuable as they prepare professionals for the evolving landscape of optimization technology.

Role Significance

Participants will work within small, highly specialized teams of 3-8 senior developers and technical experts, with direct access to company leadership and core algorithm architects - a structure typical of specialized software companies where individual contributions have significant impact
This is a unique entry-level position with accelerated senior-track potential, designed as a comprehensive apprenticeship that provides exposure typically requiring 5-7 years of traditional career progression. The role combines customer-facing responsibilities with deep technical development work, positioning graduates for immediate senior contributor roles.

Key Projects

Development and optimization of branch-and-bound algorithms for mixed-integer programming problems Implementation of cutting plane methods and preprocessing techniques for large-scale optimization models Creation of customer-facing modeling tools and diagnostic capabilities for enterprise optimization applications Performance benchmarking and competitive analysis against other commercial optimization solvers

Success Factors

Deep mathematical foundation combined with practical programming skills - success requires both theoretical understanding of optimization algorithms and ability to implement them efficiently in production-quality code Strong customer empathy and communication abilities to translate complex technical concepts into business value propositions, as the role bridges technical development with customer success Self-directed learning capability and intellectual curiosity, as the field of mathematical optimization continues to evolve rapidly with new algorithmic developments and application domains Collaborative mindset and ability to work effectively in small, high-performance teams where individual contributions directly impact product quality and company success

Market Demand

Very High - The specialized nature of MIP algorithm development combined with the growing market for optimization software creates exceptional demand for professionals with these skills, particularly those trained by leading solver companies

Important Skills

Critical Skills

C programming proficiency is absolutely essential as it's the primary language for high-performance optimization solver development, where computational efficiency directly impacts product competitiveness and customer success Linear algebra and mathematical optimization theory provide the foundational knowledge necessary to understand and improve complex algorithms that solve real-world business problems worth millions of dollars Strong communication skills are vital because the role requires translating complex mathematical concepts into actionable insights for customers and collaborating effectively with cross-functional teams

Beneficial Skills

Python and other high-level programming languages for rapid prototyping and customer interface development Understanding of software engineering practices including version control, testing frameworks, and continuous integration for professional software development Knowledge of operations research applications across industries to better understand customer use cases and identify market opportunities Experience with Linux system administration for managing computational environments and deployment scenarios

Unique Aspects

This is an exceptionally rare opportunity to receive comprehensive training in commercial optimization solver development from the industry leader, providing skills that are highly specialized and in extreme demand across multiple industries
The 2-year structured program offers unprecedented access to both customer-facing and core development experiences, creating a unique professional profile that combines technical depth with business acumen
Remote-first global program starting in 2026 indicates Gurobi's strategic investment in building next-generation optimization expertise, suggesting significant career growth potential for program graduates
Direct exposure to cutting-edge algorithmic research and development that influences the entire optimization software industry

Career Growth

2-3 years to senior individual contributor roles, 4-6 years to technical leadership positions, with the comprehensive training providing accelerated progression compared to traditional academic or industry paths

Potential Next Roles

Senior MIP Algorithm Developer focusing on core solver engine development and research Technical Product Manager for optimization software solutions with deep algorithmic understanding Principal Technical Account Manager for enterprise optimization customers Research Scientist in computational optimization at technology companies or research institutions Founding team member or technical lead at optimization-focused startups

Company Overview

Gurobi Optimization

Gurobi Optimization is the leading commercial provider of mathematical optimization software, competing directly with IBM CPLEX and other enterprise solvers. Founded by the original developers of CPLEX, Gurobi has established itself as the performance leader in mixed-integer programming with a strong focus on algorithmic innovation and customer success.

Market leader in commercial optimization software with significant market share among Fortune 500 companies and research institutions, known for superior algorithmic performance and comprehensive customer support compared to competitors
Global presence with strong European operations, offering this remote position reflects the company's commitment to accessing international talent and supporting distributed teams across multiple time zones
Highly technical, research-oriented culture that values algorithmic excellence and customer success, with flat organizational structure enabling direct access to senior technical leadership and meaningful contribution to product development from early career stages
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