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Cplex Optimization Jobs (NOW HIRING)

Data Scientist

Manhattan, NY · Remote

$120 - $130/hr

... optimization solvers and APIs in Python (e.g., Gurobi, CPLEX, OR-Tools, PuLP/COIN-OR), including debugging and refining model behavior Developing and applying predictive and statistical models ...

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Cplex Optimization information

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$40

$59

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How much do cplex optimization jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for cplex optimization in the United States is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $73.56 per hour, depending on experience, location, and employer.

What is a Cplex Optimization job?

A CPLEX Optimization job involves using IBM's CPLEX solver to model and solve complex mathematical optimization problems. Professionals in this role typically work with linear programming (LP), mixed-integer programming (MIP), and constraint programming to optimize processes in industries like logistics, finance, and manufacturing. They use programming languages such as Python, Java, or C++ to implement optimization models and improve decision-making efficiency. Strong analytical skills and knowledge in operations research, mathematics, and software development are essential for success in this role.

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

To excel in a Cplex Optimization role, a solid background in operations research, mathematical modeling, and advanced problem-solving is generally required, often supported by a degree in mathematics, engineering, or computer science. Proficiency with IBM ILOG CPLEX Optimizer, optimization libraries, and programming languages such as Python, Java, or C++ is essential, with relevant certifications in analytics or optimization being advantageous. Strong analytical thinking, communication skills, and the ability to collaborate effectively with multidisciplinary teams help professionals stand out. Mastery of these skills ensures the development of efficient, scalable optimization models that address complex, real-world business challenges.

What are the typical daily responsibilities of someone working in Cplex Optimization?

Professionals specializing in Cplex Optimization typically spend their days formulating mathematical models, implementing optimization algorithms, and running simulations to solve complex business problems. They collaborate closely with data scientists, engineers, and business analysts to define project goals and refine model requirements. Regular tasks include debugging code, interpreting optimization results, and presenting actionable insights to stakeholders. This role often involves iterative problem-solving and requires keeping up with the latest advances in optimization techniques.
What are the most commonly searched types of Cplex Optimization jobs? The most popular types of Cplex Optimization jobs are:
Infographic showing various Cplex Optimization job openings in the United States as of May 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,067 per year, or $59.6 per hour.

AI Engineer - Decision & Optimization Systems

Gallatin AI, Inc.

El Segundo, CA

Other

Medical, Retirement, PTO

Posted 21 days ago


Job description

AI Engineer – Decision & Optimization Systems

At Gallatin, we are rebuilding logistics infrastructure for the national security missions of the United States and allied partners. We build AI systems that determine how logistics decisions are made — not just how they're executed. From factory to foxhole, we operate at the layer where data becomes decisions, and decisions make the advantage.

We're looking for an AI Engineer – Decision & Optimization Systems to own the feasibility, authority, and constraint layers that sit between AI reasoning and real-world execution.

In this role, you will build the systems that decide what plans are allowed to exist before any optimizer, agent, or human can act on them. Your work ensures that AI-generated logistics plans respect command hierarchy, policy, safety, and operational reality—so when we execute, we execute correctly.

You will work closely with routing, packing, optimization, and AI-agent teams to translate intent, authority, and uncertainty into auditable, enforceable, and explainable decision systems.

Build & Own Feasibility and Authority Models
  • Design and implement models that encode command hierarchy, authority limits, and policy rules into formal feasibility checks.
  • Convert AI-agent outputs (LLMs, planners, probabilistic models) into deterministic, enforceable constraints before execution.
  • Ensure that authority and policy interpretations are traceable, inspectable, and safe.
Constraint & Feasibility Frameworks
  • Build and maintain a centralized constraint framework used across optimization and planning systems.
  • Encode:
    • Authority rules
    • Compatibility constraints
    • Timing windows
    • Asset availability and readiness
  • Surface clear diagnostics for infeasible plans and constraint violations so humans and machines can understand what failed and why.
Data Ownership & Validation
  • Own the data inputs required for feasibility and constraint enforcement.
  • Define and enforce data contracts, normalization, and validation pipelines.
  • Build robustness against incomplete, delayed, or noisy operational data.
Production Integration
  • Integrate feasibility checks into real-time and batch planning pipelines.
  • Partner with optimization and execution teams to gate all actions on valid, policy-compliant inputs.
  • Validate system behavior using scenario testing, simulations, and operational feedback from real users.
Strong Engineering & Modeling Skills
  • Proficiency in at least one of: Python, Java, Go, or C++
  • Experience building constraint-based or rule-based systems in production.
  • Experience integrating AI or agent-based reasoning into downstream decision or execution pipelines.
Optimization & Decision Science Background
  • Degree or equivalent experience in Operations Research, Applied Math, Industrial Engineering, Computer Science, or related field.
  • Strong understanding of:
    • Linear programming
    • Mixed-integer programming
    • Constraint satisfaction systems
  • Experience using tools such as Gurobi, CPLEX, OR-Tools, Pyomo, AMPL, or equivalent.
Systems Thinking
  • Ability to reason about feasibility vs optimality tradeoffs.
  • Comfort integrating probabilistic or AI-derived outputs into deterministic systems.
  • Strong instincts for debugging, failure analysis, and explainability in high-stakes environments.
Bonus Points
  • Experience with logistics, supply chain, or routing systems.
  • Experience working alongside optimization or planning teams.
  • Exposure to defense, government, or mission-critical operations.
  • Prior work integrating AI agents into decision or execution pipelines.

We are building the system that enables faster, smarter logistics decisions in contested environments, and we're doing it with a team of seasoned entrepreneurs, operators, and technologists who have built and scaled solutions in this space before. We hold ourselves to an extremely high standard. We value clear thinking, direct communication, and the kind of ownership that doesn't stop until something actually works.

Our mission is to create decision advantage when the stakes are the highest. If we succeed, the system doesn't just run; it gets smarter. We're not building AI for its own sake. We're building it because faster, smarter decisions in the most demanding environments on earth can't wait. If you want to work somewhere the stakes are real and the mission is urgent — you'll fit in here.

The logistics infrastructure that supports America's warfighters and humanitarian disaster responders is overdue for transformation, and we are building it. From defense operations to disaster response, we're solving the hardest problems that keep missions moving when it matters most. Join a team where the mission is the point.

Gallatin offers competitive compensation commensurate with experience. Actual compensation may vary based on experience, skills, and location. In addition to base salary, we offer a generous equity grant, full healthcare coverage, 401k, unlimited PTO, and the perks of working in a high-caliber, mission-driven environment.

Gallatin is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.

This position may require the ability to obtain and maintain a U.S. government security clearance. The successful candidate must be able to work in a classified environment when necessary.

We comply with the United States Department of Labor's Pay Transparency provision.