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Optimization Engineer Jobs in New Jersey (NOW HIRING)

SRP Systems Inc

Senior Optimization Engineer

Princeton, NJ · On-site

$109K - $150K/yr

Senior Optimization Engineer: optimization involves in finding a set of values that will minimize or maximize an objective function. We are looking for an engineer that has extensive experience in ...

SRP Systems Inc

Senior Optimization Engineer

Princeton, NJ · On-site

$109K - $150K/yr

Senior Optimization Engineer: optimization involves in finding a set of values that will minimize or maximize an objective function. We are looking for an engineer that has extensive experience in ...

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How much do optimization engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for optimization engineer in New Jersey is $60.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $74.66 per hour, depending on experience, location, and employer.

What is an optimization engineer?

Optimization Engineers are professionals who analyze, design, and implement solutions to improve the efficiency, performance, and cost-effectiveness of systems, processes, or products. They use mathematical models, data analysis, and simulation tools to identify areas for improvement and develop strategies to achieve optimal results. These engineers work across various industries, including manufacturing, technology, energy, and logistics, to help organizations maximize output while minimizing resources and waste.

What is optimization engineering?

The job duties of an optimization engineer focus on taking an existing design and improving making it stronger, fast, more efficient, or more durable. Career qualifications for an optimization engineer include a bachelor’s or master’s degree in engineering and years of field experience through internships or similar positions. Strong analytical and research skills are important for this job, as well as a strong background in advanced mathematics.

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

To thrive as an Optimization Engineer, you need a solid background in mathematics, data analysis, and engineering principles, often supported by a degree in engineering, mathematics, or a related field. Familiarity with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python, and data modeling tools is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for developing efficient solutions, collaborating with cross-functional teams, and driving continuous improvement in complex systems.

How does an optimization engineer typically collaborate with other departments to implement solutions?

Optimization Engineers often work closely with cross-functional teams such as production, operations, and data analysis. They collaborate by gathering input on current processes, identifying bottlenecks, and proposing data-driven improvements. Regular meetings and clear communication are crucial to ensure that proposed optimizations are practical and align with business goals. By involving stakeholders from various departments, Optimization Engineers help facilitate smoother implementation and ensure that solutions are sustainable and well-integrated.

What is the difference between Optimization Engineer vs Data Analyst?

AspectOptimization EngineerData Analyst
Required CredentialsBachelor's in Engineering, Mathematics, or related field; often certifications in optimization or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentEngineering teams, manufacturing, logistics, or software developmentBusiness, finance, marketing, or healthcare sectors
Employer & Industry UsageManufacturing, tech, logistics, supply chainFinance, marketing, healthcare, consulting

Optimization Engineers focus on improving processes and systems through mathematical modeling and algorithms, often working in technical environments. Data Analysts interpret data to support business decisions, typically working with data visualization and reporting tools. While both roles analyze data, Optimization Engineers emphasize process optimization, whereas Data Analysts focus on insights and reporting.

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Optimization Engineer jobs near you
Infographic showing various Optimization Engineer job openings in New Jersey as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $125,957 per year, or $60.6 per hour.

Senior Optimization Engineer

SRP Systems Inc

Princeton, NJ • On-site

$109K - $150K/yr

Full-time

Re-posted 6 days ago

Job description

Company Description

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run
by seasoned alumni from Stanford University and Wharton.

Job Description

Senior Optimization Engineer: optimization involves in finding a set of values that will minimize or maximize an objective function. We are looking for an engineer that has extensive experience in handling linear and non-linear optimization problems. You must have at least 5+ years of
hands-on experience in using both built in optimization libraries and in writing your own custom optimization algorithms such as gradient descent, genetic algorithms, or similar.
SRP is a company run by alumni of Stanford, Wharton, UPenn with two plus decades of industry
experience and past startup success. We are building a product in "dynamic pricing" by combining big data and pricing. SRP is a one year old startup with existing clients, and seed funded.
Anyone that joins SRP at this stage will enjoy a decent salary and great stock options. As we are extremely picky when it comes to hiring, please apply only if you have all the skills mentioned above, if not more.

Additional Information

This is a Full time project

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