scheduling-algorithms jobs in San Diego

Senior Full Stack Java Engineer responsible for designing and building microservices for workforce management (forecasting, scheduling, adherence, reporting) using Java/Spring Boot and REST APIs, while developing responsive TypeScript/React frontends. The role requires integrating WFM capabilities with ACD, HR, payroll, and enterprise platforms; modeling complex workforce data in PostgreSQL; containerizing services for cloud deployment; and maintaining CI/CD pipelines with Jenkins.…See more Requires 8+ years of full-stack experience, strong domain knowledge of workforce planning concepts, and proven ability to work with business rules engines, scheduling algorithms, and distributed event-driven architectures.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems for a manufacturing intelligence platform spanning planning, simulation, and AI assistance. You'll design scheduling and resource-allocation solvers, build analytics layers for operational intelligence, and lead LLM integration for both cloud and air-gapped DoD deployments.…See more The role requires 5+ years shipping production optimization or ML systems, deep Python proficiency, hands-on experience with MILP/constraint solvers or OR-Tools, and strong applied math skills in combinatorial optimization and statistical modeling.

As an Applied AI & Optimization Engineer, you will own optimization algorithms and ML systems powering Firestorm's manufacturing intelligence platform, including scheduling, resource allocation, and constraint satisfaction for a planning workbench and simulation engine. You'll design analytics layers for defect trends and operational intelligence, lead integration of open-source and custom LLMs for cloud and edge deployment in DoD contexts, and productionize algorithmic systems alongside full-stack and infrastructure teams.…See more The role requires 5+ years of applied optimization, operations research, or ML systems experience with deep Python proficiency, fluency in optimization frameworks (MILP solvers, OR-Tools), and a proven track record shipping production systems—not prototypes—to real users. You'll partner with manufacturing domain experts to translate operational constraints into model formulations.