Senior Software Engineer - Optimization
RadixAbout the role
The opportunity
“Artificial Intelligence has shifted from prediction to practice, ushering in the autonomous enterprise—where systems of intelligence drive operations, not just support them.”
For the past eight years, we've been supporting some of the most iconic enterprises to embrace the potential of AI. Building on our experience and proven impact, we are now more committed than ever to our vision: creating a world of possibility through Superlinear productivity gains.
The next step is clear: we are broadening our horizon throughout Europe, supporting the world’s most critical enterprises in their transformation. To realize this ambitious vision, we’re seeking sharp minds and steady hands: people who care deeply, are mission-driven, build boldly, and own the outcome.
That's why we are hiring a Senior Software Engineer - Optimization.
The role
As our Software Engineer specialized in Mathematical Optimization, you'll be building the mathematical engines that solve large-scale industrial optimization problems. You'll work on challenges where optimal solutions can drive millions in economic value.
What you’ll build
Optimization Solutions
Model complex real-world problems as constraint programming problems
Determine the model scope to maximize impact while guaranteeing tractability
Decompose large-scale problems to achieve tractability
Design hard and soft constraints to achieve real-world feasibility
Design (lexicographic) objectives to achieve maximal real-world impact
Implement multi-objective optimization with Pareto frontier computation
Natural Languages Interfaces
Design Python APIs to make constraint programming accessible to developers
Design Python APIs to enable Large Language Models to implement and modify optimization models
Design Natural Language Interfaces that enable business users to efficiently mitigate operational disruptions
Design Natural Language Interfaces that enable business users to simulate and compare different scenarios
Design Natural Language Interfaces that provide intuitive explanations for decision proposals
Scalable Solver Algorithms
Design compilers that translate high-level optimization problem representations into efficient constraint programs
Design (meta-)algorithms that prioritize finding good feasible solutions quickly
Apply Reinforcement Learning to accelerate optimization algorithms
Design distributed optimization solvers wherein multiple strategies collaborate to find good feasible solutions
Robust Software
Develop robust and maintainable Python packages and APIs for optimization
Develop benchmarks and evaluate software performance on those benchmarks
Build comprehensive test suites that validate correctness and robustness
Implement monitoring and observability for optimization systems
Requirements
Who are you
Essential Experience
Background in Mathematical Optimization through academic or industry experience
Ideally experienced with Constraint Programming, though strong expertise in Operations Research, Metaheuristics, or Convex Optimization is equally valuable
Proven Python programming skills with production-quality code
Track record of solving real-world optimization problems
Aptitude to translate business requirements into mathematical models
Skills That Matter
Experience with optimization solvers (OR-Tools, Choco, Gurobi, CPLEX, etc.)
Operations Research techniques and Mixed-Integer Linear Programming
Metaheuristics
Experience with large-scale distributed optimization
API design and developer experience
Knowledge of Large Language Models and their potential ap
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