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Linear Programming Jobs in California (NOW HIRING)

Principal Astronomical Engineer

Irvine, CA ยท On-site

$150K - $270K/yr

Non-linear programming * Ability to design, develop, and test the aforementioned engineering areas * Strong proficiency in C, C++, and Python, and implementation of astronautics functions ...

Principal Astronomical Engineer

Irvine, CA ยท On-site

$150K - $270K/yr

Non-linear programming * Ability to design, develop, and test the aforementioned engineering areas * Strong proficiency in C, C++, and Python, and implementation of astronautics functions ...

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

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 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 ...

Linear (Pipeline) Design Engineer

Irvine, CA ยท 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 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 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 ...

Linear (Pipeline) Design Engineer

Irvine, CA ยท 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 ...

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Linear Programming information

See California salary details

$43.9K

$69.9K

$97.7K

How much do linear programming jobs pay per year?

As of Jul 25, 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 careers use linear programming?

Linear programming is used in careers such as operations research analysts, supply chain managers, financial analysts, and data scientists to optimize processes, resource allocation, and decision-making. These roles often require skills in mathematical modeling, programming, and analytical tools like Excel, MATLAB, or specialized optimization software.

Is linear programming still useful?

Linear programming is a fundamental technique used in operations research and optimization roles to solve problems involving resource allocation and decision-making. It remains widely applicable in industries such as manufacturing, logistics, finance, and supply chain management, often utilizing software tools like Excel Solver or specialized optimization software. Proficiency in mathematical modeling and analytical skills are important for roles involving linear programming.

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 job makes $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn $1,000,000 or more annually, often including bonuses and stock options. Additionally, successful entrepreneurs, top investment bankers, and certain specialized professionals in finance, technology, or consulting may reach this income level with significant experience and performance. These roles typically require advanced skills, extensive experience, and often a combination of leadership and strategic responsibilities.

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 senior data scientists, quantitative analysts, and operations research directors can reach or exceed $500,000 annually, especially with bonuses and stock options. These roles typically require advanced degrees, strong analytical skills, and experience with optimization tools and programming languages like Python or R.

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 cities in California are hiring for Linear Programming jobs? Cities in California with the most Linear Programming job openings:
Infographic showing various Linear Programming job openings in California as of July 2026, with employment types broken down into 78% Full Time, 11% Temporary, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $69,929 per year, or $33.6 per hour.
Software Engineer, Fleet Optimization

Software Engineer, Fleet Optimization

Waymo

San Diego, CA โ€ข On-site

Other

Posted 14 days ago


Job description

The ideal candidate is someone who can be self-sufficient and product-minded. You will be working on cross-cutting problems that will require strong cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure.

You will:

  • Algorithm design and software implementation to solve multi-disciplinary real world problems at the intersection of computer science, optimization and fleet management.
  • Make informed tradeoffs in system design around real world system realities in fleet optimization.
  • Instrument systems and analyze data to understand behaviors, troubleshoot, and identify opportunities.
  • Build, evolve, own, and operate mission-critical tools and systems.
  • Collaborate with Operators on the ground, Product, UX, data science, and other engineering teams to develop

You have:

  • BS degree in Computer Science or equivalent practical experience.
  • 5+ years of direct coding experience. Backend or infrastructure preferred..
  • Experience with backend coding languages: C++, (secondary Python).

We prefer:

  • Experience implementing algorithms for multidimensional systems.ย 
  • Practical knowledge in any of the fields of dynamics (system response, mechanics, system modelling) , optimization (gradient descent, linear algebra, filtering), control (linear, state space, stochastic, feedback control), operations research (constraint optimization, Linear programming) and/or implementing design patterns.ย 
  • Passion for working in cross functional environments that include nontechnical stakeholders
  • Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform)
  • Experience with operations tooling, developer productivity, or developer tools
  • Strong bias for action.