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Full Time Gurobi Jobs (NOW HIRING)

Avathon

Senior AI Scientist - Planning

Pleasanton, CA · On-site

$160K - $240K/yr

Proficiency in Python with hands-on experience in optimization solvers (Gurobi, CPLEX, OR-Tools, or ... S. full-time employees -- we'd love to connect and share more! * Evolving culture with the ...

Booz Allen Hamilton

Computer Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

... Gurobi, or MySQL * 2+ years of experience with Machine Learning, AI or NLP * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

CVS Health

Sr Manager, Data Science

Woonsocket, RI · On-site +1

$140K - $260K/yr

Coding in Python, R, SAS, Julia, Gurobi, or CPLEX; Designing data models and solutions for ... This pay range represents the base hourly rate or base annual full-time salary for all positions in ...

Capital One

Lead Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

... Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

Capital One

Senior Lead Data Engineer

Chicago, IL · On-site

... Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ ... The minimum and maximum full-time annual salaries for this role are listed below, by location.

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Full Time Gurobi information

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How much do full time gurobi jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time gurobi in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a full time Gurobi job?

A Full Time Gurobi job typically refers to a position where the primary responsibility involves using the Gurobi Optimizer, a popular mathematical optimization solver, on a full-time basis. Professionals in this role often develop and implement optimization models to solve complex business or engineering problems. They may work in industries such as logistics, finance, manufacturing, or energy, and need strong skills in mathematical modeling, programming, and data analysis. Familiarity with optimization techniques and programming languages like Python is usually required.

What are the key skills and qualifications needed to thrive as a Gurobi optimization specialist, and why are they important?

To thrive as a Gurobi Optimization Specialist, you need a solid background in mathematical optimization, operations research, and programming, typically supported by a degree in mathematics, engineering, or computer science. Proficiency with Gurobi Optimizer, Python, and other modeling languages like AMPL or PuLP is essential, along with familiarity with optimization algorithms. Strong problem-solving abilities, analytical thinking, and effective communication skills help you interpret results and collaborate with stakeholders. These skills are crucial for designing efficient solutions to complex optimization problems, ensuring practical and impactful outcomes for businesses.

What are some common challenges faced by professionals working full time with Gurobi, and how can they be addressed?

Professionals in full-time roles utilizing Gurobi often encounter challenges such as modeling complex optimization problems, ensuring model scalability, and integrating Gurobi with existing data pipelines or software systems. Collaborating closely with data scientists, software engineers, and stakeholders is crucial to clarify requirements and iterate on model development. Leveraging Gurobi's extensive documentation, community forums, and support channels can help overcome technical hurdles. Regular knowledge-sharing within your team also fosters collective problem-solving and keeps everyone updated with best practices.

What is the difference between Full Time Gurobi vs Full Time Data Scientist?

AspectFull Time GurobiFull Time Data Scientist
Required CredentialsMathematics, Operations Research, or related certifications; programming skillsStatistics, Computer Science, or related degrees; programming and analytical skills
Work EnvironmentOptimization modeling, algorithm development, software toolsData analysis, modeling, machine learning, visualization
Employer & Industry UsageFinance, logistics, manufacturing, supply chainTech, finance, healthcare, marketing

Full Time Gurobi roles focus on optimization software and mathematical modeling, often requiring strong quantitative skills. Full Time Data Scientists analyze data to generate insights, utilizing statistical and machine learning techniques. While both roles involve programming, Gurobi specialists concentrate on optimization problems, whereas Data Scientists work on broader data analysis tasks.

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Cities with the most Full Time Gurobi job openings:

What are the most commonly searched types of Gurobi jobs?

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Full Time Gurobi jobs near you
Infographic showing various Full Time Gurobi job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

Senior Staff Engineer, Discrete Planning (R5440)

Shield AI

Remote

$230K - $350K/yr

Full-time

Re-posted 14 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
The Discrete Planning Group is a part of the Autonomy Team for Hivemind Enterprise Product. The group is an agile set of engineers focused on researching and developing state-of-the-art algorithms that drive intelligent and confidence-inspiring flight behaviors while accounting for an uncertain and dynamic world. As a member of the group, you will work at the intersection of artificial intelligence, discrete optimization, and motion planning. You will architect and write high-quality software for core systems, set standards for software engineering, refine technical requirements, drive strategic technical improvements, and mentor other engineers.
What you'll do:
  • Research, design, and implement state-of-the-art algorithms for optimal task allocation, scheduling and temporal sequencing of heterogeneous teams of autonomous vehicles (land, air, other).
  • Solidify and improve existing C++ based mission planning software applicable across disparate vehicle types and compute platforms.
  • Work with our engineers, program managers, and product managers to define a technical roadmap for future autonomy solutions and SDK offerings.

Projects you might work on:
  • Breakdown a mission into assignable tasks based on agent capabilities such as navigating in contested and denied environments and adapting to mission changes in real-time.
  • Construct feasible and optimal action plans for distributed teams of autonomous vehicles that also minimize human operator workload.
  • Full software and hardware-in-the-loop simulation of complex multi-agent missions.

Required qualifications:
  • Typically requires a PhD with graduate work in Optimization or Operations Research. Master's degree with 4 or more years of work in the same areas.
  • Expert in Integer or Mixed Integer Linear Programming, Constraint Programming, Convex Optimization, Multi-Objective-Optimization and using established solvers such as Gurobi, Google-OR, CPLEX etc.
  • Significant experience in implementing algorithms in C++ and using debuggers such as gdb to troubleshoot execution within a multi-threaded environment.

Ways to stand out:
  • Past publications on Optimization(google scholar profile).

$230,000 - $350,000 a year
#LI-KC3
#LE
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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