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Mathematical Programming Jobs in California (NOW HIRING)

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Data Science Engineer

Century City, CA · On-site

Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred * Proficiency in using SQL and modern ...

SLB

High Performance Computing Engineer

Sunnyvale, CA · On-site

The ideal candidate will demonstrate deep expertise in operations research, advanced mathematical programming, and quantum computing technologies. Your solutions will address challenges such as ...

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Mathematical Programming information

What is a mathematical programming?

A Mathematical Programming job involves using mathematical models, optimization techniques, and algorithms to solve complex problems in various industries. Professionals in this field work on tasks such as resource allocation, scheduling, risk analysis, and decision-making processes. They utilize programming languages like Python, R, or specialized optimization software to develop efficient solutions. Common industries that hire for this role include finance, logistics, engineering, and data science. These jobs require strong analytical skills, mathematical knowledge, and the ability to translate real-world problems into mathematical formulations.

What are the typical responsibilities of someone working in mathematical programming?

Professionals in Mathematical Programming are primarily responsible for developing, implementing, and analyzing mathematical models to solve complex optimization problems in areas like logistics, finance, or engineering. Their daily tasks often include formulating models, coding algorithms, running simulations, and interpreting results to advise decision-makers. Mathematical Programmers frequently collaborate with cross-functional teams such as data analysts, domain experts, and project managers to tailor solutions to organizational needs. This hands-on, collaborative role offers continuous learning opportunities and exposure to a wide variety of real-world problems, making it a dynamic and rewarding career choice.

What are the key skills and qualifications needed to thrive in mathematical programming, and why are they important?

To excel in Mathematical Programming, candidates typically need a strong background in mathematics, operations research, and computer science, often supported by a relevant bachelor's or master's degree. Proficiency in programming languages such as Python, MATLAB, or specialized optimization software like CPLEX and Gurobi is highly valued in this field. Strong analytical thinking, problem-solving abilities, and clear communication skills help professionals interpret complex data and effectively present solutions. These skills are vital for developing efficient algorithms and optimization models that solve real-world business or engineering challenges.

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

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

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

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

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

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

Mathematical Programming jobs near you
Infographic showing various Mathematical Programming job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution.

Principal Optimization Architect -- Gurobi & Decision Intelligence

Bristlecone

San Francisco, CA • On-site

Other

Re-posted 3 hours ago

Key responsibilities

  • Design, formulate, and implement advanced mathematical optimization models tailored to solve complex, large-scale enterprise constraints.

  • Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer to improve solve times and compute efficiency.

  • Collaborate with engineering teams to embed core optimization engines into enterprise software architectures and construct scalable APIs and data pipelines.

Job description

About Company::


Bristlecone is a supply chain and business analytics advisor, serving customers across a wide range of industries. Rated by Gartner as among the top ten system integrators in the supply chain space, we are uniquely positioned to solve contemporary business problems, with supply chain and analytics focus as our advantage. We have been a trusted partner and advisor to many leading, globally recognized companies such as Applied Materials, Exxon Mobil, Flextronics, LSI Logic, Mahindra, Motorola, Nestle, Palm, Qatar Petroleum, Ranbaxy, Unilever and Whirlpool and many other


About the Role


We are seeking an industry-leading, visionary Principal Operations Research Consultant / Optimization Architect to spearhead the design, development, and deployment of enterprise-scale decision intelligence and optimization systems. In this high-impact role, you will bridge the gap between complex algorithmic theory and real-world production execution.


You will act as the technical authority on mathematical modeling, leveraging deep expertise in Gurobi Optimizer to translate multi-faceted business bottlenecks into highly scalable, automated frameworks. This role is a unique blend of strategic solution architecture, elite hands-on mathematical programming, and technical team mentorship.


Location: - This is US based role, should be open to travel on needed basis


🎯 Key Responsibilities


  • Optimization Solution Development: Design, formulate, and implement advanced mathematical optimization models (Linear Programming, Mixed-Integer Programming, Non-Linear Programming) tailored to solve complex, large-scale enterprise constraints.
  • Solver Mastery & Engineering: Execute advanced tuning, parameter configuration, and structural enhancements using Gurobi Optimizer (mandatory) to drive down solve times and maximize compute efficiency. Develop pristine, maintainable code primarily in Python.
  • Operations Research Leadership: Systematically apply deep OR methodologies to automate business processes, including Network Design, Fleet Routing, Logistics, Scheduling, Stochastic Optimization, and custom Heuristics/Metaheuristics.
  • Team Leadership & Mentorship: Direct, manage, and scale a high-performing team of data analysts and Operations Research specialists. Conduct rigorous code reviews and establish structural modeling standards.
  • Production Deployment & Automation: Collaborate with engineering teams to embed core optimization engines into enterprise software architectures. Construct scalable APIs, microservices, and continuous data pipelines for automated model execution.


Required Qualifications

  • Experience: 10–12+ years of progressive professional experience explicitly dedicated to optimization architecture and applied Operations Research.
  • Mandatory Technical Depth: Undeniable, extensive hands-on history delivering multiple real-world, commercial-grade optimization engines driven by Gurobi Optimizer.
  • Programming Skills: Expert proficiency in Python alongside an understanding of math modeling libraries (e.g., Pyomo, PuLP, Gurobipy).
  • Education: Bachelor's, Master's, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a deeply quantitative field.
  • Leadership Track Record: Proven background in managing or mentoring technical teams and conducting advanced math code reviews.


📩 If this sounds like the right fit for you or someone you know, feel free to reach out or drop your resume in the comments or messages!

Apply