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Gurobi Optimization Jobs (NOW HIRING)

Optimization Engineer

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic ... Familiarity with solvers such as Gurobi, XPRESS, HiGHS, or CPLEX and modeling frameworks like Pyomo ...

Optimization Scientist

Boston, MA · On-site

$90 - $130/hr

Hands‑on experience with commercial optimization solvers (e.g., Gurobi, CPLEX) and open‑source frameworks. * Iterative Problem‑Solving Approach: A results‑driven mindset with the ability to ...

Senior Optimization Engineer

Santa Clara, CA · Remote

$122K - $168K/yr

Minimum 5 years of experience in optimization modeling tools and solvers (AMPL/AIMMS, CPLEX, Gurobi). * Minimum 3 years of experience with high-level programming languages. * Minimum 3 years of ...

Showing results 21-40

Gurobi Optimization information

See salary details

$37.5K

$122.7K

$196.5K

How much do gurobi optimization jobs pay per year?

As of Sep 5, 2026, the average yearly pay for gurobi optimization in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Gurobi Optimization vs Data Scientist?

AspectGurobi OptimizationData Scientist
Required CredentialsMathematics, Operations Research, or Computer Science degree; optimization certificationsStatistics, Computer Science, or related degree; data analysis certifications
Work EnvironmentFinance, logistics, manufacturing, or tech industries; focus on optimization modelsResearch, tech, finance; focus on data analysis and modeling
Employer & Industry UsageCompanies needing optimization solutions, supply chain, financeTech firms, consulting, research institutions

Gurobi Optimization specialists focus on developing and implementing mathematical models to solve complex optimization problems, often requiring strong quantitative skills. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles involve data and analytics, Gurobi Optimization roles are more specialized in optimization techniques, whereas Data Scientists focus on broader data analysis and machine learning.

What does Gurobi Optimization do?

Gurobi Optimization is a company that develops advanced mathematical programming software used for solving optimization problems such as linear, integer, and quadratic programming. Professionals in this field typically work with the Gurobi solver to model and analyze complex decision-making problems in industries like logistics, finance, and manufacturing, often requiring knowledge of optimization techniques and programming skills.
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Cities with the most Gurobi Optimization job openings:

What states have the most Gurobi Optimization jobs?

States with the most job openings for Gurobi Optimization jobs include:

What job categories do people searching Gurobi Optimization jobs look for?

The top searched job categories for Gurobi Optimization jobs are:

Infographic showing various Gurobi Optimization job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Acuity-Sterling Capital_Data Engineer

SysMind Tech

Charlotte, NC • On-site

$111K - $134K/yr

Contractor

Re-posted yesterday


Job description

Position: Data Engineer
Location: Charlotte, NC
We are looking for candidates who are willing to attend an in-person (face-to-face) interview at one of our office locations in Pittsburgh, PA, New York, NY, or Charlotte, NC.
This is an onsite role from Day 1, and the selected candidate will be required to work from the Charlotte, NC office.
Job purpose
  • We are specifically seeking candidates with strong hands-on experience in Snowflake, Python, and Databricks. The ideal candidate should have extensive experience building scalable data pipelines, working with large datasets, and developing data engineering solutions using these technologies.

Key responsibilities:
  • Develop and maintain scalable ELT pipelines and data workflows
  • Design and implement data models and warehouse structures
  • Build full stack data applications and backend services
  • Develop Snowflake-based data solutions within cloud environments
  • Write high-quality Python and SQL code
  • Implement automated testing frameworks
  • Develop reusable data engineering frameworks
  • Build and maintain CI/CD pipelines using GitHub
  • Create reporting and visualization solutions (e.g., Power BI)
  • Monitor and resolve production issues ensuring data reliability
  • Experience with automated testing and framework development

Key competencies:
  • Dagster orchestration
  • dbt transformations
  • Gurobi optimization solver
  • Elementary data validation
  • Retool development
  • GoAnywhere MFT
  • Power BI and DAX
  • Azure services (ADF, Synapse, Key Vault)
  • Snowflake ML/AI or R
  • SQL Server, SSIS, SSRS
  • Financial services domain experience
  • Agile methodologies
  • Highly self-motivated with strong ownership
  • Extreme personal initiative
  • Ability to work independently and in teams
  • Highly resourceful problem solver
  • Strong communication and analytical skills
  • Ability to manage priorities in fast-paced environments