Job Description
We are seeking a visionary 2026 Simulation Lead to architect the future of our predictive modeling framework. In this pivotal role, you will drive the strategic planning and technical execution required to simulate and optimize our infrastructure for the year 2026 and beyond. You will work at the intersection of data science, systems engineering, and strategic foresight.
As a key member of our R&D division, you will mentor a team of engineers and collaborate with cross-functional departments to ensure our long-term vision is grounded in robust, scalable technical solutions.
Responsibilities
- Architect Future-Proof Systems: Design and implement high-fidelity simulation models that predict infrastructure performance in 2026.
- Lead Strategic Initiatives: Direct the research and development of simulation technologies that align with our 5-year roadmap.
- Data-Driven Decision Making: Analyze complex datasets to identify trends and optimize simulation parameters for maximum accuracy.
- Team Mentorship: Guide a team of junior engineers and data scientists in advanced simulation techniques and best practices.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate simulation outcomes into actionable business strategies.
- Technical Innovation: Stay ahead of emerging technologies (e.g., AI, quantum computing) and integrate them into our simulation stack.
Qualifications
- Education: Master’s degree in Computer Science, Systems Engineering, or a related quantitative field.
- Experience: Minimum of 8 years of experience in systems engineering, simulation modeling, or a related technical leadership role.
- Technical Skills: Proficiency in Python, C++, or similar languages; experience with simulation software (e.g., AnyLogic, MATLAB) is highly preferred.
- Strategic Thinking: Strong ability to think critically about long-term trends and their implications for technology.
- Leadership: Proven track record of leading high-performing engineering teams and managing complex projects.
- Communication: Excellent written and verbal communication skills with the ability to present complex data to non-technical stakeholders.