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Model Predictive Control Jobs in New York (NOW HIRING)

... control. This candidate must be comfortable working in a highly collaborative, fast-paced ... Experience in testing predictive and classification model outputs, such as Linear Regression ...

... predictive modeling, and advanced analytics, with exposure to modern AI techniques. You will ... control • Strong problem-solving, collaboration, and communication skills PREFERRED ...

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Model Predictive Control information

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 are popular job titles related to Model Predictive Control jobs in New York? For Model Predictive Control jobs in New York, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in New York look for? The top searched job categories for Model Predictive Control jobs in New York are:
What cities in New York are hiring for Model Predictive Control jobs? Cities in New York with the most Model Predictive Control job openings:
Infographic showing various Model Predictive Control job openings in New York as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, 7% Part Time, 5% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
ServiceNow Platfrom Lead / Architect

ServiceNow Platfrom Lead / Architect

Diverse Lynx

New Brunswick, NJ • On-site

$73.50 - $92.75/hr

Full-time

Posted 6 days ago


Job description

Job Summary:
Diverse Lynx is a company that specializes in providing technology solutions, and they are seeking a ServiceNow Platform Lead / Architect. The role involves designing and implementing ServiceNow solutions, leading architectural decisions, and ensuring platform integrity and best practices in performance and scalability.
Responsibilities:
• Experience: 8-10 years of hands-on experience designing and implementing ServiceNow solutions, with at least 2-3 years in a lead or architect role
• Expertise in ServiceNow architecture, design, and configuration, including ITSM, ITOM- CMDB, Service Mapping, CSDM
• In-depth knowledge of ServiceNow platform capabilities, modules, and best practices
• Proven ability to design and implement scalable ServiceNow solutions, including ITSM, ITOM, CMDB, and emerging modules, with deep knowledge of the Common Services Data Model (CSDM) for platform alignment
• Extensive experience with ServiceNow integrations using REST, SOAP, OAuth2, JWT, and MID Server, ensuring seamless interoperability with external systems like AWS, Azure, Salesforce, or other enterprise platforms.
• Proficiency in ServiceNow scripting (JavaScript, Glide API, Business Rules, etc.)
• Expertise in designing solutions to maintain platform integrity, optimize CMDB structure, and enforce best practices in performance, scalability, and usability
• In-depth knowledge of ServiceNow update sets, version control, deployment processes, and platform governance frameworks to ensure optimal performance and compliance
• Familiarity with advanced ServiceNow features such as Flow Designer, Virtual Agent, and Predictive Intelligence
Qualifications:
Required:
• 8-10 years of hands-on experience designing and implementing ServiceNow solutions, with at least 2-3 years in a lead or architect role
• Expertise in ServiceNow architecture, design, and configuration, including ITSM, ITOM- CMDB, Service Mapping, CSDM
• In-depth knowledge of ServiceNow platform capabilities, modules, and best practices
• Proven ability to design and implement scalable ServiceNow solutions, including ITSM, ITOM, CMDB, and emerging modules, with deep knowledge of the Common Services Data Model (CSDM) for platform alignment
• Extensive experience with ServiceNow integrations using REST, SOAP, OAuth2, JWT, and MID Server, ensuring seamless interoperability with external systems like AWS, Azure, Salesforce, or other enterprise platforms.
• Proficiency in ServiceNow scripting (JavaScript, Glide API, Business Rules, etc.)
• Expertise in designing solutions to maintain platform integrity, optimize CMDB structure, and enforce best practices in performance, scalability, and usability
• In-depth knowledge of ServiceNow update sets, version control, deployment processes, and platform governance frameworks to ensure optimal performance and compliance
• Familiarity with advanced ServiceNow features such as Flow Designer, Virtual Agent, and Predictive Intelligence
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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