Senior Optimization Engineer

About the role

The role of Senior Optimization Engineer at Verse involves leading the design, development, and deployment of optimization models that power Verse’s software platform. This includes translating business requirements into scalable optimization models and implementing them as robust, maintainable Python software. The position also entails designing reusable optimization frameworks and services that integrate seamlessly into Verse’s cloud platform and support long-term product development.

Responsibilities

• Lead End-to-End Optimization Engineering: Develop optimization solutions from mathematical formulation through production deployment.
• Translate business requirements into scalable optimization models and implement them as robust, maintainable Python software.
• Design reusable optimization frameworks and services that integrate seamlessly into Verse's cloud platform and support long-term product development.
• Optimization Modeling & Solver Development: Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques.
• Develop optimization models for electricity markets, battery energy storage systems, renewable energy assets, and other distributed energy resources.
• Write clean, well-tested, and maintainable Python code following modern software engineering best practices.
• Contribute to architecture decisions, testing frameworks, CI/CD pipelines, and deployment of optimization services.
• Partner closely with product managers, software engineers, data scientists, and commercial stakeholders to understand business requirements and deliver optimization capabilities that integrate into customer-facing products.
• Technical Leadership: Mentor junior engineers, establish best practices for optimization modeling and software development, conduct code reviews, and help shape the technical direction of Verse's optimization platform.

Requirements

• 5+ years of professional experience developing mathematical optimization models in production environments.
• Demonstrated experience independently leading complex optimization projects from formulation through deployment.
• Professional experience developing production software in Python.
• Experience deploying optimization models into scalable production systems.
• Professional experience in the energy industry is required.
• Experience with battery energy storage optimization is strongly preferred.

Qualifications

• Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative field.
• A bachelor's degree with significant relevant experience may also be considered.

Preferred Qualifications

• Experience optimizing battery energy storage systems in wholesale electricity markets.
• Familiarity with stochastic optimization, robust optimization, or multi-stage optimization methods.
• Experience developing optimization services for real-time or operational decision support systems.
• Experience mentoring engineers or leading technical projects.
• PhD in Operations Research, Applied Mathematics, Industrial Engineering, or a related quantitative discipline.

Pay

Base Pay Range: $150,000 - $210,000

Schedule

Hybrid