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Mathematical Optimization Jobs in California (NOW HIRING)

Verse

Senior Optimization Engineer

San Francisco, CA · On-site

$123K - $169K/yr

This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ...

Verse

Senior Optimization Engineer

San Francisco, CA · On-site

$123K - $169K/yr

This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ...

Verse

Senior Optimization Engineer

San Francisco, CA · On-site

$123K - $169K/yr

This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ...

Mytra

Senior Modeling & Optimization Engineer

Brisbane, CA · On-site

$125K - $172K/yr

... mathematical optimization, statistical modeling, or applied data science. • Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences ...

Prodapt

Senior Data Scientist

Irvine, CA · On-site

Translate complex business constraints into mathematical optimization models using linear programming and constraint satisfaction techniques. * Design and implement optimization solutions for retail ...

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Mathematical Optimization information

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$15.8K

$55.1K

$100.7K

How much do mathematical optimization jobs pay per year?

As of Aug 28, 2026, the average yearly pay for mathematical optimization in California is $55,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $71,600.00 per year, depending on experience, location, and employer.

What is a mathematical optimization?

A Mathematical Optimization job involves using mathematical techniques and algorithms to find the best possible solution to a given problem while satisfying constraints. Professionals in this field work in industries like finance, logistics, engineering, and artificial intelligence to optimize processes, minimize costs, or maximize efficiency. They use tools like linear programming, integer programming, and machine learning to solve complex decision-making problems.

What do mathematical optimization professionals do?

Professionals in Mathematical Optimization often work on projects involving resource allocation, supply chain management, scheduling, logistics, network design, or financial portfolio optimization. They use mathematical models to define and solve problems where the objective is to maximize efficiency or minimize costs under various constraints. Work may include collaborating with cross-functional teams to gather requirements, analyze large datasets, develop optimization algorithms, and implement solutions within existing business systems. These roles are found across industries such as manufacturing, transportation, finance, and technology, providing diverse and challenging opportunities. This variety in project scope allows for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive in mathematical optimization?

To thrive in Mathematical Optimization, you need a strong background in mathematics, statistical modeling, and algorithm development, often supported by a degree in mathematics, operations research, engineering, or related fields. Proficiency with programming languages such as Python, MATLAB, or specialized optimization software (like Gurobi, CPLEX, or AMPL) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are critical soft skills for this role. These skills enable professionals to design effective solutions, interpret results, and convey recommendations to both technical and non-technical stakeholders.

What are the most commonly searched types of Mathematical Optimization jobs in California?

The most popular types of Mathematical Optimization jobs in California are:

What are popular job titles related to Mathematical Optimization jobs in California?

For Mathematical Optimization jobs in California, the most frequently searched job titles are:

What job categories do people searching Mathematical Optimization jobs in California look for?

The top searched job categories for Mathematical Optimization jobs in California are:

What cities in California are hiring for Mathematical Optimization jobs?

Cities in California with the most Mathematical Optimization job openings:

Mathematical Optimization jobs near you
Infographic showing various Mathematical Optimization job openings in California as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $55,064 per year, or $26.5 per hour.

Senior Optimization Engineer

Verse

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 hours ago

Job description

Location: San Francisco, CA (Hybrid)
What is Verse?
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.
The Role
We're seeking an experienced Senior Optimization Engineer to join our Data Science Team. In this role, you will lead the design, development, and deployment of optimization models that power our software platform across applications including electricity markets, renewable energy, and battery energy storage systems.
You will be responsible for developing production-grade optimization engines that solve complex operational and planning problems at scale. This role requires deep expertise in mathematical optimization, strong software engineering skills in Python, and experience building optimization models that integrate with production systems. The ideal candidate has significant experience in the energy industry, particularly electricity markets and battery storage optimization.
This position emphasizes technical leadership, ownership of complex optimization projects, and collaboration across engineering, product, and commercial teams to deliver high-impact optimization solutions.
Key Responsibilities
  • Lead End-to-End Optimization Engineering: 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 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. Formulate robust models for scheduling, dispatch, planning, and operational decision-making, and improve solver performance through model reformulation, decomposition methods, warm starts, heuristics, and parameter tuning to ensure scalable, production-ready optimization solutions.
  • Energy Systems Modeling: 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.
  • Software Engineering & Productionization: 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.
  • Cross-Functional Collaboration: 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.

What We're Looking For (Minimum Qualifications)
  • 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.

What Will Make You Stand Out (Preferred Qualifications)
  • 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

What makes Verse a great place to work?
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
Base Pay Range
$150,000-$210,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Benefits and Employee Perks
  • Competitive compensation and equity grant at a high-growth start up
  • Comprehensive benefits package including medical, dental and vision insurance, and 401k
  • Flexible hours and unlimited PTO
  • Diverse and inclusive working environment

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.

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