Related skills
sql python pandas spark cplex📋 Description
- Build optimization models for compute allocation, workload scheduling, and cluster utilization.
- Develop planning systems balancing supply, demand, cost, latency, and reliability.
- Create forecasting frameworks for GPU demand, infrastructure growth, and capacity needs.
- Design decision tools for allocating compute across teams and priorities.
- Partner with architecture, infra engineering, finance, and ops to translate needs into models.
- Integrate multiple operational data sources into planning systems and optimization workflows.
🎯 Requirements
- Doctorate degree in CS, Engineering, Mathematics, Operations Research, Economics, or related field.
- 5+ years of experience in optimization, planning, analytics, or systems engineering.
- Strong experience with LP, MILP, convex optimization, simulation, or forecasting.
- Proficiency in Python and data tooling (SQL, Pandas, Spark).
- Experience translating real-world constraints into scalable optimization systems.
- Analytical problem-solving; influence cross-functional stakeholders and communicate clearly.
🎁 Benefits
- Relocation assistance.
- Hybrid work model with 3 days in office weekly.
🚚 Relocation support
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