Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Verse is building the energy intelligence platform for the AI economy, helping large energy consumers achieve faster, cheaper, and cleaner power. We are seeking an experienced Senior Optimization Engineer to lead the design, development, and deployment of optimization models for our software platform, focusing on electricity markets, renewable energy, and battery energy storage systems.

Responsibilities

• Lead the development of 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.
• Design and implement mathematical optimization models using linear, mixed-integer, quadratic, and related optimization techniques.
• Formulate robust models for scheduling, dispatch, planning, and operational decision-making.
• Improve solver performance through model reformulation, decomposition methods, warm starts, heuristics, and parameter tuning.
• Develop optimization models for electricity markets, battery energy storage systems, renewable energy assets, and other distributed energy resources.
• Translate market rules and operational constraints into mathematically rigorous optimization formulations.
• 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.
• Deliver optimization capabilities that integrate into customer-facing products.
• Mentor junior engineers, establish best practices for optimization modeling and software development, and conduct code reviews.
• 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.
• 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.
• Experience optimizing battery energy storage systems in wholesale electricity markets.
• Knowledge of market optimization problems involving ISO/RTO markets (CAISO, ERCOT, PJM, MISO, NYISO, ISO-NE, etc.).
• 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.

Skills

• Mathematical optimization
• Python
• Electricity markets
• Battery storage optimization
• Linear optimization
• Mixed-integer optimization
• Quadratic optimization
• Scheduling
• Dispatch
• Planning
• Operational decision-making
• Model reformulation
• Decomposition methods
• Warm starts
• Heuristics
• Parameter tuning
• Renewable energy assets
• Distributed energy resources
• Software engineering
• Testing frameworks
• CI/CD pipelines
• Cloud platform integration
• Stochastic optimization
• Robust optimization
• Multi-stage optimization

Location

• San Francisco, CA

Work Type

• Hybrid

Experience Level

• Senior
• 5+ years of professional experience

Education Level

• Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Electrical Engineering, or a related quantitative field
• Bachelor's degree with significant relevant experience

Salary/Compensations

• $150,000-$210,000

Benefits

• Competitive compensation and equity grant
• Comprehensive benefits package including medical, dental and vision insurance
• 401k
• Flexible hours
• Unlimited PTO

About the Company

• The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI.
• At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio.
• Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.
• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Equal Opportunity

• Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.