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

Sr. Design Quality Engineer

Boston, MA · On-site

$136K - $145K/yr

Utilize DOE (Design of Experiments), SPC (Statistical Process Control), Variable Gage R & R, ANOVA ... Collaborate on predictive complaint analysis and conduct post-market product performance reviews to ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Experience with common data analytics and/or modeling techniques (e.g., clustering, time-series ...

Senior People Data Analyst

Boston, MA · On-site

$93K - $117K/yr

... control center. As the world enters an era of strategic competition, Anduril is committed to ... You'll develop predictive models to forecast hiring demand, identify where candidates drop off in ...

Senior People Data Analyst

Boston, MA

$93K - $117K/yr

... control center. As the world enters an era of strategic competition, Anduril is committed to ... You'll develop predictive models to forecast hiring demand, identify where candidates drop off in ...

... models. * Collaborate with Product and Engineering to validate customer requirements, especially around integrations, data flows, and predictive analytics. * Partner with Professional Services to ...

GNC Senior Software Engineer

Waltham, MA · On-site

$132K - $174K/yr

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

GNC Senior Software Engineer

Waltham, MA

$132K - $174K/yr

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

Demonstrated experience in guidance, navigation, and control (GNC); trajectory optimization; and/or the development of predictive models for vehicle dynamics and weapon system effectiveness (e.g., 6 ...

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Model Predictive Control information

See Lawrence, MA salary details

$57.7K

$101.3K

$137.4K

How much do model predictive control jobs pay per year?

As of Jun 14, 2026, the average yearly pay for model predictive control in Lawrence, MA is $101,319.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $113,300.00 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 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 are the typical challenges faced by engineers working with Model Predictive Control (MPC) 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 (MPC) 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 cities near Lawrence, MA are hiring for Model Predictive Control jobs? Cities near Lawrence, MA with the most Model Predictive Control job openings:
Sr. Design Quality Engineer

Sr. Design Quality Engineer

Medtronic

Boston, MA • On-site

$136K - $145K/yr

Full-time

Retirement, PTO

Posted 18 days ago


Medtronic rating

7.8

Company rating: 7.8 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

163rd of 518 rated manufacturers


Job description

We anticipate the application window for this opening will close on - 2 Jul 2026
Position Description:
Sr. Design Quality Engineer for Covidien, LP (a Medtronic company), Perform Quality engineering activities in support of new product development. Work cross-functionally to review requirements and identify and assess product risks, and mitigation strategies, as well as review protocols and reports to support product validation. Support Systems NPD Quality team in performing engineering analysis to ensure design quality, analyzing system, and sub-system risk, technical writing, resolving high-profile quality issues, and product improvements for robust design. Utilize Medical device design controls, product risk files, and lean sigma methodologies, including Define, Measure, Analyze, Improve, and Control (DMAIC), Design for Reliability (DfR) and Design for Manufacturing (DfM). Utilize DOE (Design of Experiments), SPC (Statistical Process Control), Variable Gage R & R, ANOVA (analysis of Variance), t-test, regression analysis, Process Capability, Confidence & Tolerance interval analysis and process control. Evaluate products and process risks using d/p Failure Mode, Effects, and Criticality Analysis (FMECA), utilizing ISO 14971. Navigate New Product Development Life Cycle. Leverage QMS (Quality Mgmt. System) processes including CTQ (Critical to Quality) and knowledge of FDA 21 CFR part 820 ISO 13485:2003 medical device materials, related processes, and GDP (Good Documentation Practices). Utilize design capability, value stream and process mapping, and 5S. Troubleshoot production and other issues utilizing problem solving techniques, including A3 thinking, PDCA (Plan, Do, Check, Act), 5 Why's and Ishikawa (Fishbone). Leverage Corrective and Preventive actions (CAPA) with use of RCA (Root Cause Analysis) to solve problems, document conditions and create solutions to avoid future problems. Leverage statistical software including (electronic quality mgmt. system) eQMS and Minitab. Collaborate on predictive complaint analysis and conduct post-market product performance reviews to identify and mitigate potential design and quality issues. Relocation assistance is not available for this position. Position works a hybrid model and will be onsite in Boston, MA-4 days per week. #LI-DNI
Basic Qualifications:
Masters' Degree in Mechanical, Biomedical or Bio-Engineering or related engineering field and two (2) years of experience as a product development engineer, quality engineer or related occupation in quality engineering or product development engineering or Bachelor's degree in Mechanical, Biomedical or Bio-Engineering or related engineering field and five (5) years of experience as a product development engineer, quality engineer or related occupation in quality engineering or product development engineering. Must possess two (2) years' experience in each of the following: Medical device design controls, product risk files, DMAIC, DfR , DfM, and Lean Six Sigma; DOE, SPC, Variable Gage R & R, ANOVA (analysis of Variance), t-test, regression analysis, Process Capability, Confidence & Tolerance interval analysis and process control; Product and Process risk utilizing d/p FMECA and ISO 14971; New Product Development Life Cycle; QMS process, identify CTQ, FDA 21 CFR Part 820, ISO 13485 and GDP; A3 thinking, PDCA (Plan, Do, Check, Act), 5 Why's and Ishikawa (Fishbone); CAPA and RCA; eQMS and Minitab; and Predictive Complaint Analysis.
Salary: $136,600 to $145,200 per year
The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).
Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.
Further details are available at the link below: Medtronic benefits and compensation plans

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