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Mathematical Optimization Jobs in Newton, MA (NOW HIRING)

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

... mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets. Due to the wide-ranging nature of research, this ...

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

Skilled at breaking down mathematical model construction, numerical solution algorithms, and optimization procedures. Guides students through formulating real-world problems mathematically ...

Showing results 21-40

Mathematical Optimization information

See Newton, MA salary details

$17.6K

$61.2K

$111.9K

How much do mathematical optimization jobs pay per year?

As of Sep 7, 2026, the average yearly pay for mathematical optimization in Newton, MA is $61,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a mathematical optimization?

A Mathematical Optimization job involves using mathematical techniques and algorithms to find the best possible solution to a given problem while satisfying constraints. Professionals in this field work in industries like finance, logistics, engineering, and artificial intelligence to optimize processes, minimize costs, or maximize efficiency. They use tools like linear programming, integer programming, and machine learning to solve complex decision-making problems.

What do mathematical optimization professionals do?

Professionals in Mathematical Optimization often work on projects involving resource allocation, supply chain management, scheduling, logistics, network design, or financial portfolio optimization. They use mathematical models to define and solve problems where the objective is to maximize efficiency or minimize costs under various constraints. Work may include collaborating with cross-functional teams to gather requirements, analyze large datasets, develop optimization algorithms, and implement solutions within existing business systems. These roles are found across industries such as manufacturing, transportation, finance, and technology, providing diverse and challenging opportunities. This variety in project scope allows for continuous learning and professional growth.

What are the key skills and qualifications needed to thrive in mathematical optimization?

To thrive in Mathematical Optimization, you need a strong background in mathematics, statistical modeling, and algorithm development, often supported by a degree in mathematics, operations research, engineering, or related fields. Proficiency with programming languages such as Python, MATLAB, or specialized optimization software (like Gurobi, CPLEX, or AMPL) is typically required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly are critical soft skills for this role. These skills enable professionals to design effective solutions, interpret results, and convey recommendations to both technical and non-technical stakeholders.

What job categories do people searching Mathematical Optimization jobs in Newton, MA look for?

The top searched job categories for Mathematical Optimization jobs in Newton, MA are:

Infographic showing various Mathematical Optimization job openings in Newton, MA as of August 2026, with employment types broken down into 77% Full Time, 15% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,203 per year, or $29.4 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

The Advanced Concepts & Technologies Group is looking for exceptional engineers, scientists, and mathematicians who are excited to work on challenging problems and join our team. The group develops technology to protect and enhance the effectiveness of our deployed sailors, soldiers, and assets while enabling operations in a rapidly evolving complex threat environment. The group's research and development activities include architecture and concept design, advanced algorithms development, software and hardware prototyping, experimental field-testing, and data analysis. Our team focuses on creating new capabilities through analysis of critical problems leading to rapid prototyping of software and hardware. Of particular interest to the group is the development of concepts to address key national problems through advanced electronic warfare systems prototypes, advanced sensors prototypes, novel signal processing techniques, mathematical optimization approaches, and artificial intelligence to enable the development of next generation systems for fleet and surface assets.

Due to the wide-ranging nature of research, this dynamic group is comprised of a team of scientists and engineers with expertise in physics, mathematics, computer science, and various engineering backgrounds. The group values inclusiveness, fosters mentoring at all levels, and promotes critical and innovative thinking to address the needs of the nation. The successful candidate will be part of a highly collaborative team that thrives in solving complex challenges, fosters innovation, supports career growth, and is dedicated to making a positive impact for our nation.

Job Description

The Advanced Concepts and Technologies Group works throughout the technology development cycle including the development of architectures, concepts, algorithms, software, and hardware prototypes. The group is seeking a systems analyst to join our team, understand our key missions, and perform analyses on architectures and concepts needed to solve hard problems in the National Security space. The candidate will work as part of a team to develop physics- and engineering-based analysis tools for a wide variety of technologies related to sensors, electronic warfare systems, space systems, and crewed/uncrewed platforms. The candidate will use these tools to perform analyses of these systems and missions and convey the results of their analyses through technical briefings to government sponsors and other technical experts. While previous experience in these systems isn't required, the successful candidate must be able to leverage their technical background to rapidly develop understanding across these technology areas as they learn from, and collaborate with, experts across the group and the Laboratory. In addition, to be successful in the role, the candidate will need to develop clear, concise briefings to place technical results in context and explain them to a wide range of audiences.

Responsibilities include but not limited to:

  • Independently add features and capabilities to the existing analysis tools, including the technical background to accurately model basic physics phenomenology in terms of RF propagation, electronic warfare, missile flyouts, sensors detection and similar effects
  • Work with the team to scope the analysis problem, understand what new features are required in the tools to support analysis, implement these features, and interpret the results
  • Along with the rest of the team, implement overall software architecture and quality control of the codebase, including how new features should best be added and tested/verified
  • Perform modeling runs needed for analysis and build tools that allow for efficient batch runs and analysis of results, as well as exploration and interpretation of results
  • Develop clear, compelling briefings based on analysis and present results to both internal and external/sponsor audiences 
Requirements

M.S. (or bachelor's degree with at least 2-3 years of experience) in Physics, Engineering, Mathematics, Aeronautics/Astronautics, or related field; significant programming skills in any language (MATLAB, Python, Julia, C++, Java, etc.) and ability to solve complex problems. Self-motivated with a proven ability to address a broad range of problems both independently and collaboratively with highly dynamic, interdisciplinary teams.


Recent Graduate Hiring Range: $116.400 - $140,000
Experienced Hiring Range: $116,400 - $182,200

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

Requisition ID: 43267