About the role
Senior Development Engineer leading research and development of advanced analytics, simulation, and optimization solutions for digital supply chain applications.
ResearchOnsite
Key Responsibilities
- Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.
- Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.
- Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.
- Collaborate with cross‑functional teams to transition research results into tangible, deployable products or solutions.
- Leverage cutting‑edge technologies such as discrete‑event and agent‑based simulations, network analysis, and optimization techniques to develop solutions.
- Implement machine learning and AI technologies into operational processes to enhance decision‑making capabilities.
Requirements
- Bachelor's or Master's degree in Engineering, Computer Science, Operations Research, or related fields.
- Strong foundation in mathematical modeling, algorithm design, and scientific computing.
- Expertise in simulations (discrete‑event, agent‑based) and optimization techniques.
- Proficiency in programming languages such as Python, C, C++, or MATLAB.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn) and optimization libraries (e.g., Gurobi, CPLEX).
- Experience in data structures, algorithm development, and software development best practices.