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Optimisation Engineer Jobs (NOW HIRING)

Senior Optimization Engineer

Embry Hills, GA ยท On-site +1

$103K - $141K/yr

Optimization Engineer / Senior Optimization Engineer Seeking a highly motivated engineer or scientist with strong expertise in multi-objective optimization applied to complex engineering problems.

Optimization Engineer

San Jose, CA ยท On-site

$130K - $200K/yr

Efficient's Optimization Engineers optimize and benchmark applications, libraries, and kernels for the world's most energy-efficient programmable processor (the "Fabric"). In this role, you will take ...

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

Senior Electrical Engineer

Charlotte, NC ยท On-site

$104K - $136K/yr

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

At Optima Engineering , an employee-owned MEP engineering consulting firm, we focus on delivering high-quality mechanical, electrical, plumbing, fire protection, and technology design solutions for ...

Optimization Engineer

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic optimization platform that transforms real-time data, forecasting models, and asset intelligence into ...

Optimization Engineer

Charleston, WV ยท Remote

$217K - $237K/yr

The Optimization Engineer will provide technical leadership in the creation of a programmatic optimization platform that transforms real-time data, forecasting models, and asset intelligence into ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to join a global technology company, driving energy innovation for a balanced planet. What's in it For ...

We are looking for an Optimization Engineer located in Midland, TX . This is your opportunity to join a global technology company, driving energy innovation for a balanced planet. What's in it For ...

As a 3D Print Optimization Engineer you will be continuously using your problem solving skills to drive improved performance. We are customer focused, and the first step of tackling the problem is ...

They are seeking an experienced AI Optimization Engineer to apply advanced optimization and AI techniques to improve decision systems within their Applied AI Center of Excellence. Responsibilities ...

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Optimisation Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do optimisation engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for optimisation engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior engineers in fields such as software, petroleum, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, specialized skills, and advanced certifications. High-paying roles often involve leadership responsibilities, complex projects, or working in high-demand industries and may include bonuses and stock options.

What does an optimization engineer do?

An optimization engineer analyzes and improves processes, systems, or algorithms to increase efficiency, reduce costs, or enhance performance. They often use data analysis, mathematical modeling, and tools like MATLAB or Python to develop solutions and may work in industries such as manufacturing, logistics, or software development.

How does an Optimisation Engineer typically collaborate with cross-functional teams to implement process improvements?

Optimisation Engineers frequently work alongside production, quality assurance, and maintenance teams to identify inefficiencies and implement solutions. This collaboration often involves gathering input from operators, analyzing process data with data scientists, and working with IT to deploy automation tools. Regular meetings and clear communication are crucial to ensure that proposed changes are both practical and aligned with operational goals. By fostering strong relationships across departments, Optimisation Engineers help ensure the successful adoption and sustainability of process improvements.

What engineers make $200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and data engineering often earn $200,000 or more annually, especially with extensive experience, advanced skills, and relevant certifications. Roles in high-demand industries or leadership positions can also reach or exceed this salary level.

What is an Optimisation Engineer?

An Optimisation Engineer is a professional who specializes in improving systems, processes, or products to achieve better efficiency, performance, and cost-effectiveness. They analyze data, identify bottlenecks, and develop strategies or implement technologies that help organizations operate more optimally. Optimisation Engineers can work in various industries, including manufacturing, software, logistics, and energy. Their work often involves mathematical modeling, simulation, and the use of specialized software tools. Ultimately, their goal is to maximize output while minimizing resource use and waste.

What are the key skills and qualifications needed to thrive as an Optimisation Engineer, and why are they important?

To thrive as an Optimisation Engineer, you need strong analytical skills, a background in mathematics or engineering, and proficiency in optimization techniques, often supported by a relevant degree. Familiarity with technical tools such as MATLAB, Python, GAMS, or specialized optimization software, as well as experience with data analysis platforms, is typically required. Problem-solving abilities, strong communication, and a collaborative mindset are essential soft skills for excelling in this role. These skills are crucial for identifying, analyzing, and implementing solutions that improve processes, reduce costs, and drive operational efficiency.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data engineering, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. These roles typically require advanced skills, extensive experience, and work in high-demand industries or senior leadership positions.

What is the difference between Optimisation Engineer vs Data Analyst?

AspectOptimisation EngineerData Analyst
CredentialsBachelor's in Engineering, Mathematics, or related fields; certifications in data analysis or optimization toolsBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis or visualization tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, marketing, finance, or healthcare sectors
Industry UsageManufacturing, supply chain, software optimizationMarket research, business intelligence, reporting

Optimisation Engineers focus on improving processes, systems, or products through technical analysis and engineering methods. Data Analysts interpret data to support decision-making, often using statistical tools. While both roles analyze data, Optimisation Engineers are more involved in technical process improvements, whereas Data Analysts focus on data interpretation and reporting.

More about Optimisation Engineer jobs
What states have the most Optimisation Engineer jobs? States with the most job openings for Optimisation Engineer jobs include:
What job categories do people searching Optimisation Engineer jobs look for? The top searched job categories for Optimisation Engineer jobs are:
Infographic showing various Optimisation Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Senior Optimization Engineer

Senior Optimization Engineer

Optimal Inc.

Embry Hills, GA โ€ข On-site, Remote

$103K - $141K/yr

Contractor

Posted 3 days ago


Job description

Job Description: Optimization Engineer / Senior Optimization Engineer

Seeking a highly motivated engineer or scientist with strong expertise in multi-objective optimization applied to complex engineering problems. This role will focus on developing, implementing, and deploying optimization methods to support engineering design, analysis, and decision-making across multidisciplinary applications.

Key Responsibilities
Develop and apply multi-objective optimization methods for engineering problems involving tradeoffs among performance, cost, mass, durability, efficiency, or other attributes
Build, validate, and improve optimization models for simulation-driven and data-driven engineering applications
Formulate engineering problems as mathematical optimization models, including objectives, constraints, and decision variables
Use and integrate commercial optimization tools and solvers as well as custom-developed optimization codes
Work with cross-functional engineering teams to translate real-world design challenges into robust optimization workflows
Analyze Pareto-optimal solutions and provide engineering insights to support decision-making
Support model calibration, sensitivity studies, design space exploration, and surrogate/model-reduction approaches where appropriate
Document methods, assumptions, and results, and communicate findings clearly to technical and non-technical stakeholders

Required Qualifications
Master's or Ph.D. in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, Applied Mathematics, Operations Research, Computer Science, or a related field
Strong experience applying multi-objective optimization to engineering problems
Experience in optimization model development
Experience using commercial optimization software, solvers, or frameworks
Strong understanding of mathematical optimization techniques such as gradient-based optimization, nonlinear programming, evolutionary algorithms, surrogate-based optimization, or mixed-integer optimization
Experience working with simulation-based engineering tools and computational models
Strong programming and problem-solving skills

Preferred Qualifications
Ph.D. with demonstrated research in engineering optimization or related fields
Experience with commercial optimization codes such as CPLEX, Gurobi, modeFRONTIER, HEEDS, LS-OPT, iSight, GT-SUITE optimizer, or similar tools
Experience with surrogate modeling, reduced-order modeling, or multi-fidelity optimization
Experience in automotive, CAE, crashworthiness, thermal, structural, manufacturing, or multidisciplinary engineering optimization, simulation software such as LS-DYNA, ABAQUS.
Ability to work in a collaborative environment and influence technical direction across teams

Desired Technical Skills
Multi-objective optimization and Pareto tradeoff analysis
Engineering model formulation and simulation-based optimization
Commercial and custom optimization code development
Numerical methods, statistics, and design of experiments
Python, MATLAB, C++, or similar technical computing languages
Familiarity with finite element, multiphysics, or system-level engineering models