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Mathematical Optimization Jobs in Newton, MA (NOW HIRING)

MIT Lincoln Laboratory

Systems Analyst

Lexington, MA · On-site

... 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 ...

IBM

Sr. Software Engineer (TS/SCI)

Boston, MA · On-site

$144 - $268/hr

Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes utilizing tools like IBM CPLEX ...

MIT Lincoln Laboratory

Systems Analyst

Lexington, MA · On-site

... 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 ...

MIT Lincoln Laboratory

Systems Analyst

Lexington, MA

... 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 ...

MIT Lincoln Laboratory

Systems Analyst

Lexington, MA · On-site

... 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 ...

MIT Lincoln Laboratory

Systems Analyst

Lexington, MA · On-site

... 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 ...

MIT Lincoln Laboratory

Systems Analyst

Lexington, MA · On-site

... 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 ...

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All JobsMathematical Optimization JobsMathematical Optimization Jobs in Newton, MA

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:

Mathematical Optimization jobs near you
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.

Performance & Capacity Engineering - Capacity Planning Optimization

Meta

Boston, MA

$184K/yr

Full-time

Re-posted 29 days ago

Key responsibilities

  • Own infrastructure capacity planning for Servers, Data Centers, and Network.

  • Design, implement, and launch software systems to improve capacity planning efficiency and quality.

  • Build and utilize models for simulation, optimization, and scenario planning to balance demand, supply, and constraints.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network). This role will focus on creating and optimizing capacity plans at various altitudes to balance capacity, power, and cost, in an environment of continual product introduction, directly managing billions of investment annually. We do this primarily by building software and mathematical optimization models, not manual planning. This role will be uniquely positioned to optimize these capacity plans and scalably manage exceptions at the most strategic levels with company level impact. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta’s products. This role will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including AI, Metaverse, etc. Help build one of the largest fleets, powering one of the largest internet services in the world!
Performance & Capacity Engineering - Capacity Planning Optimization Responsibilities:
  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
  • Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build linear programming models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 4+ years of experience with LP solvers such as Xpress or Gurobi
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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