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Model Predictive Control Jobs in Mariners Harbor, NY

DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays ... to predictive risk management, enabling early identification of emerging risks and control ...

Location New York, London, Paris, Frankfurt About the team The Methodology and Model Development ... predictive and easy-to-use analytical capabilities. The successful candidate will combine strong ...

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Model Predictive Control information

See Mariners Harbor, NY salary details

$54.3K

$95.3K

$129.3K

How much do model predictive control jobs pay per year?

As of Sep 8, 2026, the average yearly pay for model predictive control in Mariners Harbor, NY is $95,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $106,600.00 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 cities near Mariners Harbor, NY are hiring for Model Predictive Control jobs?

Cities near Mariners Harbor, NY with the most Model Predictive Control job openings:

Infographic showing various Model Predictive Control job openings in Mariners Harbor, NY as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $95,339 per year, or $45.8 per hour.

Engineer, Control Systems Design

Eos Energy Enterprise

Edison, NJ โ€ข On-site

$100 - $125/hr

Other

Posted 20 days ago


Job description

## Engineer, Control Systems DesignApplylocations: NJ Edisontime type: Full timeposted on: Posted 2 Days Agojob requisition id: R5800**About Eos Energy Enterprises**Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough ZnythTM aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. For more information about Eos (NASDAQ: EOSE), visit eose.com.**About the Role**The Control Systems Design Engineer helps develop the control strategies that manage battery behavior, grid interactions, and siteโ€level automation. This role will work closely with the engineering teams to integrate BMS, PCS, and EMS controls into a cohesive platform that supports reliable energy delivery.**Responsibilities*** Design and develop control system architectures for BESS, including battery management system (BMS) integration, energy management system (EMS) logic, and power conversion system (PCS) controls* Create control algorithms for charge/discharge cycles, stateโ€ofโ€charge (SOC) balancing, and grid support functions (e.g., frequency regulation, voltage support).* Develop PLC, SCADA, and HMI logic tailored to energy storage applications* Model and simulate system behavior using tools such as MATLAB/Simulink to validate control strategies under various grid and environmental conditions.* Collaborate with electronics engineering, software engineering, and manufacturing teams to ensure seamless integration of control hardware, sensors, and communication networks.* Support commissioning and field deployment, including troubleshooting control logic, tuning system parameters, and validating performance on live systems.* Ensure that designs comply with safety standards such as UL 9540, UL 1741, NFPA 855, and IEEE grid interconnection requirements.* Develop technical documentation, including control narratives, functional design specifications, test procedures, and system architecture diagrams.* Continuously improve system performance by implementing advanced control strategies, predictive analytics, and optimization techniques**Knowledge, Skills, and Abilities*** Strong understanding of battery energy storage systems, including BMS, PCS, EMS, and siteโ€level controls.* Proficiency with PLC programming (e.g., Allenโ€Bradley, Siemens), SCADA platforms, and industrial communication protocols (Modbus, CAN, IEC 61850).* Knowledge of power systems, including inverters, transformers, switchgear, and grid interconnection requirements.* Experience with control theory, system dynamics, and realโ€time control implementation.* Ability to interpret singleโ€line diagrams, control schematics, and electrical drawings.* Strong troubleshooting skills for both hardware and software issues in complex energy systems.* Experience with energy storage, renewable energy, or power electronics preferred.* Knowledge of relevant standards (UL, IEEE, NFPA) and utility interconnection requirements.**Education and Experience*** Bachelor's degree in electrical engineering required.* Minimum of 5 years' experience**Travel*** Local Travel: 10-25%* Overnight/North America: 10-25%**Working Conditions*** Office Environment - Must be able to remain in a stationary position 50% of the time and occasionally move about inside the office to access file cabinets, office machinery, etc. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. May be required to exert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.* Factory - The worker may be subject to hazards. Includes a variety of physical conditions, such as proximity to moving mechanical parts, vibration, moving vehicles, electrical current, exposure to temperature changes or exposure to chemicals. While performing the duties of this job, the employee may be exposed to fumes, airborne particles, odors, dust, mists, and gases. The noise level in the work environment can be loud. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines (including inspection); using measurement devices; and/or assembly or fabrication parts at distances close to the eyes. Machinery operation requires the use of safety equipment to include but not limited to eye safety glasses, hearing protectors, work boots, and lab coats. May be required to exert up to 50 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.* Customer/Partner Locations โ€“ Employee may visit customer or partner locations that may be comprised of office, manufacturing floor, laboratory environments and construction sites depending on the location and reason for visit. #J-18808-Ljbffr