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Model Predictive Control Jobs in Boston, MA (NOW HIRING)

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Model Predictive Control information

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$59.8K

$104.9K

$142.3K

How much do model predictive control jobs pay per year?

As of Aug 22, 2026, the average yearly pay for model predictive control in Boston, MA is $104,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $117,300.00 per year, depending on experience, location, and employer.

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What job categories do people searching Model Predictive Control jobs in Boston, MA look for?

The top searched job categories for Model Predictive Control jobs in Boston, MA are:

What cities near Boston, MA are hiring for Model Predictive Control jobs?

Cities near Boston, MA with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,918 per year, or $50.4 per hour.

Staff - Research Scientist - Plasma Modeling and Control

Mitsubishi Electric Research Laboratories

Cambridge, MA โ€ข On-site, Remote

$135K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago


Job description

Mitsubishi Electric Research Laboratories (MERL) invites qualified candidates to apply for the position of Research Scientist in the Multiphysical Systems Group. Current areas of interest include system level dynamic modeling, control, and state and parameter estimation for plasma-based processes. Successful candidates will be expected to perform original, relevant research in the areas of numerical analysis and simulation, control system design and development, and nonlinear and distributed state estimation for plasma systems.

The Multiphysical Systems Group at MERL conducts fundamental, academically-oriented research in model-based design and analysis of complex multiphysical systems, emphasizing thermofluid, electrical power, and mechatronic applications. Using state-of-the-art languages, we construct system-level dynamic models and use them to design new estimation and control algorithms, analyze dynamic behaviors, optimize product performance, and prototype new products and services that are enabled by these tools and methods. Current research interests include optimization and estimation for large-scale, nonlinear system models, development of next-generation tools for scientific computing, and design and analysis of robust nonlinear controls and model predictive controls. Specific areas of interest are directed towards fundamental mathematical approaches for modeling and controlling low-temperature and/or high-temperature plasmas used in industrial processes, as well as state and parameter estimation methods for physics-based models comprised of hybrid (discrete and continuous state) nonlinear differential algebraic equations (DAEs) and partial differential equations (PDEs). The successful candidate will bring an independent research agenda and a track record commensurate with experience and be capable of working within interdisciplinary R&D teams.

Responsibilities for this position include:

  • Conducting innovative and relevant research on estimation and control for plasma-based processes
  • Developing and advancing a research agenda impacting the scientific community and company technology
  • Publishing results in leading technical journals and conferences, and drafting patent applications
  • Partnering with business units, corporate R&D, and academic groups in the execution of R&D projects
  • Transferring results and technology to Mitsubishi Electric corporate research laboratories

Qualifications for this position are:

  • A Ph.D. or equivalent from an internationally recognized institution in applied mathematics, physics, chemical engineering, electrical engineering, or other related fields, with a focus on plasma systems
  • Knowledge of modern methods for analysis, simulation, control, and estimation of large-scale multiphysical systems governed by PDEs and/or DAEs
  • Strong programming skills, in at least some of Julia, Modelica, C/C++, Python, and Matlab
  • A strong publication record in leading conferences and journals, consistent with experience
  • A record for independently proposing and executing research programs with academic impact
  • Strong teamwork, communication (oral and written), teaching, and listening skills

The pay range for this position at the commencement of employment is expected to be between $135,000 and $170,000 per year. Actual base pay will depend on a variety of individualized factors, including job-related knowledge, skills, and experience.

In addition to base salary, the total compensation package will include an annual performance-based bonus and a comprehensive benefits program encompassing medical, dental, and vision coverage; a generous 401(k) match; commuting and home office stipends and various paid time off programs (including vacation, sick time, personal and parental leave). Specific details regarding participation in these programs will be provided upon an offer of employment.

Employment is considered at-will, and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

PRINCIPALS ONLY. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.


Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.