DescriptionActioNet is experienced
Optimization Engineer / Algorithm Engineer to design, develop, and enhance intelligent routing and scheduling solutions that improve field operations through advanced optimization techniques. This role will focus on building vehicle routing algorithms using OR-Tools, developing clustering and constraint-based models, and integrating optimization services with enterprise control systems through APIs. The ideal candidate will have a strong background in algorithms, graph theory, heuristic optimization, and scalable software development using Python or Java. Responsibilities include developing real-time and batch optimization capabilities, creating performance benchmarks, implementing automated testing frameworks, and tuning solutions for accuracy, efficiency, and scalability. The candidate will collaborate across engineering and operations teams to document, support, and continuously improve optimization services deployed in production environments.
- Design and implement vehicle routing and scheduling algorithms using OR-Tools to generate optimal field assignments.
- Develop clustering algorithms to group workloads geographically and minimize travel time and cost.
- Implement constraint models, including capacity, time windows, skills, priorities, and survey rules, within the optimizer.
- Integrate the optimizer with the Mojo control system APIs for job intake, execution, and results publishing.
- Build batch and real-time optimization modes to support both scheduled and on-demand routing.
- Refactor optimizer components into modular, extensible strategy interfaces to support new routing heuristics.
- Implement data preprocessing pipelines to normalize locations, distances, and travel matrices.
- Develop automated test harnesses to validate solution correctness against known datasets and constraints.
- Implement solution quality scoring metrics, including distance, balance, SLA adherence, and cost, to evaluate route effectiveness.
- Create regression benchmarks comparing new algorithm performance against baseline outputs.
- Add parallel processing and scaling capabilities to support large route sets and high agent counts.
- Instrument services with logging and metrics to track runtime, solver performance, and solution quality.
- Package optimizer services for CI/CD deployment with reproducible builds and environment configurations.
- Document routing logic, constraints, integration points, and operational runbooks.
- Provide production support, tuning, and continuous improvement of optimization heuristics and performance.
Qualifications:
- 5+ years of experience designing and implementing routing, scheduling, or optimization systems.
- Strong algorithmic background including graph theory, clustering, and heuristic/approximation techniques.
- Proficiency in Python or Java for building optimization services and supporting tools.
- Experience developing scalable, high-performance services integrated with enterprise control systems.
- Demonstrated ability to design test harnesses validating solution correctness and optimization quality.
- Experience implementing performance tuning, parallel processing, and large dataset handling.
- Familiarity with REST APIs, data pipelines, and system integration patterns.
- Experience instrumenting systems with logging, metrics, and monitoring for operational visibility.
- Ability to document algorithms, constraints, and operational procedures while collaborating across engineering and operations teams.
Full-Time Employees are eligible to participate in our ActioNet's Benefits Program:
- Medical Insurance
- Vision Insurance
- Dental Insurance
- Life and AD&D Insurance
- 401(k) Savings Plan
- Education and Professional Training
- Flexible Spending Accounts (FSA)
- Employee Referral and Merit Recognition Programs
- Employee Assistance and Identity Theft Protection
- Paid Holidays: 11 per year
- Paid Time Off (PTO)
- Disability Insurance
********Direct Applicants, only. No Agencies, No third-party recruiters, please********
