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Linear Programming Jobs in California (NOW HIRING)

Nextpower

Sr. Principal Engineer

Fremont, CA · On-site

Linear Programming (LP) Mixed-Integer Linear Programming (MILP) Non-Linear Programming (NLP) * Translate complex real-world logistics constraints into mathematically rigorous and computationally ...

Nextracker

Sr. Principal Engineer

Fremont, CA · On-site +1

Linear Programming (LP) MixedInteger Linear Programming (MILP) NonLinear Programming (NLP) * Translate complex realworld logistics constraints into mathematically rigorous and computationally ...

Nace AI

Machine Learning Engineer

Palo Alto, CA

Deep knowledge in Linear Programming . * Experience with advanced NLP and Multimodal post-training experience (e.g., model distillation, quantization, deployment optimization). * Experienced in ...

GFT.

Linear (Pipeline) Design Engineer

Los Angeles, CA

$75K - $150K/yr

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Irvine, Los Angeles, San Diego, or Roseville, CA . This role follows a hybrid work model, requiring regular ...

GFT.

Linear (Pipeline) Design Engineer

Roseville, CA

$75K - $150K/yr

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Irvine, Los Angeles, San Diego, or Roseville, CA . This role follows a hybrid work model, requiring regular ...

GFT.

Linear (Pipeline) Design Engineer

Irvine, CA

$75K - $150K/yr

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Irvine, Los Angeles, San Diego, or Roseville, CA . This role follows a hybrid work model, requiring regular ...

GFT.

Linear (Pipeline) Design Engineer

Irvine, CA

$75K - $150K/yr

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Irvine, Los Angeles, San Diego, or Roseville, CA . This role follows a hybrid work model, requiring regular ...

GFT.

Linear (Pipeline) Design Engineer

Irvine, CA · On-site

$75K - $150K/yr

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Irvine, Los Angeles, San Diego, or Roseville, CA This role follows a hybrid work model, requiring regular ...

GFT.

Linear (Pipeline) Design Engineer

San Diego, CA

$75K - $150K/yr

GFT is seeking a Linear (Pipeline) Design Engineer to join our Water/Wastewater Team in Irvine, Los Angeles, San Diego, or Roseville, CA . This role follows a hybrid work model, requiring regular ...

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All JobsLinear Programming JobsLinear Programming Jobs in California

Linear Programming information

See California salary details

$43.9K

$69.9K

$97.7K

How much do linear programming jobs pay per year?

As of Jun 13, 2026, the average yearly pay for linear programming in California is $69,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $87,300.00 per year, depending on experience, location, and employer.

What jobs pay $10,000 a month without a degree?

Jobs related to linear programming, such as data analysts, operations managers, or supply chain consultants, can pay $10,000 or more monthly without a formal degree if they have strong analytical skills, experience, and proficiency with optimization tools. Many of these roles focus on problem-solving, software tools like Excel or specialized optimization software, and industry experience rather than formal education credentials.

What careers use linear programming?

Linear programming is used in careers such as operations research analysts, supply chain managers, financial analysts, and industrial engineers. These roles involve optimizing processes, resource allocation, and decision-making using mathematical models and tools like Excel Solver or specialized software. Strong analytical skills and knowledge of optimization techniques are essential in these fields.

What jobs pay 2000 a day?

High-paying jobs related to linear programming often include roles such as quantitative analysts, management consultants, or senior data scientists, especially in finance, consulting, or technology sectors. These positions typically require advanced skills in optimization, programming, and data analysis, and may involve long hours or project-based work to reach such daily earnings.

What is a Linear Programming job?

A Linear Programming job involves using mathematical optimization techniques to maximize or minimize a particular objective, such as cost reduction or resource allocation, under a set of given constraints. Professionals in this field work with mathematical models, algorithms, and software tools like Python, MATLAB, or specialized solvers. These jobs are common in industries like logistics, finance, operations research, and data science, where efficient decision-making is critical.

What are the key skills and qualifications needed to thrive in the Linear Programming position, and why are they important?

To succeed in a Linear Programming role, you need strong mathematical and analytical skills, typically supported by a degree in operations research, mathematics, or a related quantitative field. Familiarity with optimization software such as CPLEX, Gurobi, or MATLAB, along with programming knowledge in Python or R, is often required. Excellent problem-solving abilities, attention to detail, and clear communication are valuable soft skills in this position. These skills and qualities are crucial for effectively modeling, analyzing, and solving complex optimization problems that drive organizational decision-making.

What jobs pay $500,000 a year in the US?

In the field of linear programming and related quantitative roles, high-paying jobs such as quantitative analysts, data scientists, and operations research managers can reach or exceed $500,000 annually, especially with experience, advanced skills in optimization, and working in finance, consulting, or technology sectors. These roles often require strong analytical skills, programming knowledge, and advanced degrees like a master's or Ph.D. in a related field.

What are the typical responsibilities of someone working in a Linear Programming role?

Professionals specializing in Linear Programming are responsible for developing mathematical models to optimize processes such as resource allocation, scheduling, or logistics. Their daily tasks often include collecting and analyzing data, formulating objective functions and constraints, coding and testing optimization algorithms, and interpreting solutions for practical implementation. Collaboration with cross-functional teams such as data analysts, engineers, and business stakeholders is common to ensure models accurately address real-world challenges. By transforming large and complex datasets into actionable insights, these professionals play a key role in improving efficiency and supporting data-driven decisions across industries.

What are the most commonly searched types of Linear Programming jobs in California? The most popular types of Linear Programming jobs in California are:
What are popular job titles related to Linear Programming jobs in California? For Linear Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Linear Programming jobs in California look for? The top searched job categories for Linear Programming jobs in California are:
What cities in California are hiring for Linear Programming jobs? Cities in California with the most Linear Programming job openings:
Linear Programming jobs near you
Infographic showing various Linear Programming job openings in California as of June 2026, with employment types broken down into 4% As Needed, 49% Full Time, 17% Part Time, 4% Temporary, 22% Contract, and 4% Nights. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution, with an average salary of $69,929 per year, or $33.6 per hour.

Sr. Principal Engineer

Nextpower

Fremont, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Description:
We are seeking a Senior Principal Engineer to lead advanced AI-driven optimization initiatives for complex logistics systems. This role is responsible for designing, modeling, and solving large-scale optimization problems that directly impact operational efficiency, cost, and scalability across logistics and supply-chain applications.
The ideal candidate combines deep academic rigor in optimization with hands-on industrial implementation experience, and can act as both a technical authority and architect for optimization-based AI solutions.
Key Responsibilities
  • Lead the design and implementation of optimization models for large-scale logistics and supply-chain problems (e.g., routing, scheduling, network design, capacity planning).
  • Develop and maintain optimization formulations using Python-based modeling frameworks such as: Gurobi / GurobiPy Pyomo
  • Select, implement, and tune appropriate optimization algorithms, including: Linear Programming (LP) Mixed-Integer Linear Programming (MILP) Non-Linear Programming (NLP)
  • Translate complex real-world logistics constraints into mathematically rigorous and computationally efficient models.
  • Collaborate with AI, data science, and system engineering teams to integrate optimization engines into production AI platforms.
  • Evaluate solver performance and scalability; optimize model performance for real-time or near-real-time decision-making.
  • Provide technical leadership, mentoring, and design reviews for optimization engineers and researchers.
Required Qualifications
  • PhD in Optimization, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related field.
  • Deep expertise in mathematical optimization modeling and algorithmic design.
  • Strong hands-on experience with: Gurobi / GurobiPy Pyomo
  • Proven knowledge of and practical experience with: LP, MILP, and NLP formulations Solver behavior, numerical stability, and computational complexity
  • Strong understanding of logistics and supply-chain optimization problems
  • Advanced Python programming skills for model development and integration.
Preferred (Nice-to-Have) Qualifications
  • Experience applying optimization techniques in autonomous systems, including: Motion planning Trajectory optimization Autonomous vehicle or robotics applications
  • Familiarity with hybrid approaches combining optimization and machine learning.
  • Experience deploying optimization-based decision engines in production environments.

Nextpower offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K) participation including company matching, company paid holidays with unlimited paid time off, generous discretionary company bonuses, life and disability protection and more. Employees in certain positions may be eligible for stock compensation. All plans are in accordance with relevant plan documents. For more information on Nextpower 's benefits please view our company website at www.nextpower.com. Pay is based on market location and may vary based on factors including experience, skills, education and other job-related reasons. The annual salary range for this position is $275,000-$300,00.
At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data-driven insights, and advanced automation. Together, we're building the foundation for the world's next generation of clean energy infrastructure.
Nextpower is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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