Compute Optimization Researcher/Engineer (AI)

TL;DR

Compute Optimization Researcher/Engineer (AI): Building and optimizing systems for global compute capacity allocation, demand forecasting, and cluster planning with an accent on mathematical modeling and infrastructure efficiency. Focus on designing decision tools for GPU utilization and solving complex resource scheduling challenges across diverse environments.

Location: Hybrid: Must be based in San Francisco, CA or Seattle. Relocation assistance offered.

Salary: $293K – $455K + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Build optimization models for compute allocation, workload scheduling, and cluster utilization.
• Develop planning systems balancing supply, demand, cost, latency, and reliability constraints.
• Create forecasting frameworks for GPU demand, infrastructure growth, and capacity needs.
• Design decision tools for allocating compute across internal teams and products.
• Partner with architecture, finance, and operations teams to translate business needs into mathematical models.
• Improve utilization of GPUs, networking, power, cooling, and storage infrastructure.

Requirements

• Doctorate degree in Computer Science, Engineering, Mathematics, Operations Research, or Economics.
• 5+ years of experience in optimization, planning, or infrastructure analytics.
• Strong expertise in linear programming, mixed-integer optimization, or convex optimization.
• Proficiency in Python and data tooling such as SQL, Pandas, and Spark.
• Experience translating real-world business constraints into scalable optimization systems.

Nice to have

• Familiarity with solvers like Gurobi, CPLEX, CVXPY, or Pyomo.
• Experience optimizing GPU fleets or distributed compute environments.
• Background in supply-demand planning, logistics, or resource scheduling.
• Experience working in fast-scaling technology environments.

Culture & Benefits

• Competitive compensation package including equity.
• Relocation assistance provided.
• Opportunity to work on frontier AI workloads at a global scale.
• Hybrid work environment with 3 days in the office per week.