Staff Software Engineer, Operations Research
$274,000–$292,000 year
HybridPalo Alto, California, United States
Job Summary
Design and implement algorithms within the production delivery network using Google OR-Tools and advanced solvers to optimize drone fleet operations. Extract data-driven insights from complex logistics data to identify inefficiencies and translate them into production-ready enhancements. Integrate optimization and machine learning techniques for demand forecasting and fleet positioning to improve dispatching decisions. Lead cross-functionally with software engineers, data scientists, and hardware teams to develop scalable solutions balancing physical constraints with business value. Exercise strategic autonomy to evaluate technical options and determine appropriate methodologies for ambiguous problems. Mentor junior scientists and engineers in operations research fundamentals, code quality, and algorithm design.
Required Qualifications
- 12+ years of industry or post-graduate experience solving complex optimization problems using mathematical programming or metaheuristics
- Ph.D. or Master's degree in Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a closely related field
- Strong coding ability in Python, C++, or Java
- Understanding of object-oriented programming
- Understanding of functional programming concepts
- Understanding of core computer science algorithms
- A proven track record of designing algorithms that don't just live in research papers, but operate efficiently in real-time production software systems
- Previous experience in aviation, autonomous vehicles, ride-sharing, or last-mile logistics
- Deep familiarity with other commercial or open-source optimization solvers (e.g., Gurobi, CPLEX, SCIP)
- Experience with cloud computing platforms (GCP, AWS)
- Experience integrating solvers into scalable, distributed systems
- Experience modeling systems for simulation
- Experience designing experiments
- Hybrid based in Palo Alto, CA
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