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Model Predictive Control Jobs in Peru, NY (NOW HIRING)

Green Mountain Power

Data Engineer

Colchester, VT · On-site +1

$145K - $150K/yr

Apply statistical modeling, machine learning, and predictive analytics to solve business problems ... Star Schema, Snowflake Schema, and Dimensional Modeling Version Control: Git, GitHub, and GitLab;

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Peru, NY

Model Predictive Control information

See Peru, NY salary details

$57.2K

$100.5K

$136.3K

How much do model predictive control jobs pay per year?

As of Jul 30, 2026, the average yearly pay for model predictive control in Peru, NY is $100,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $112,400.00 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 Peru, NY are hiring for Model Predictive Control jobs? Cities near Peru, NY with the most Model Predictive Control job openings:
Model Predictive Control jobs near you

Data Engineer

Green Mountain Power

Colchester, VT • On-site, Remote

$145K - $150K/yr

Full-time

Re-posted 2 days ago

Job description

Data Engineer (Remote)

Green Mountain Power Corporation seeks a Data Engineer to collect, clean, and analyze large, complex datasets from multiple sources, including APIs, data streams, and databases, to generate actionable insights. Build, validate, and deploy machine learning models and algorithms using best practices in data science and reproducible research. Apply statistical modeling, machine learning, and predictive analytics to solve business problems and improve decision-making. Analyze source systems, define data transformation requirements, and design suitable data models. Collaborate with the Data & analytics team to ensure data quality, resolve data-related challenges, and identify opportunities for new data-driven solutions. Implement data privacy, security, and compliance best practices when handling sensitive or regulated data. Continuously evaluate and adopt new methods, tools, and techniques to improve the accuracy, efficiency, and scalability of analytics solutions. Support both Agile and Waterfall project methodologies while delivering models, insights, and recommendations on time. Telecommuting permitted. 5% domestic travel required.  Salary Range: $145,683 – 150,000 per year

JOB REQUIREMENTS:

Requires a Bachelor\'s degree (or foreign equivalent) in Computer Science, Information Technology, Biotechnology, or a related field and 7 years of experience in data or software engineering. Experience must include: Programming Languages: PL/SQL, Java, Python, HTML, Salesforce SOQL, Unix Shell Scripting; ETL & BI Tools: Talend (Cloud & ESB), Oracle Data Integrator, Informatica, Apache Airflow, Azure Data Factory, OBIEE, Tableau, and Power BI; Database Technologies: Snowflake, Oracle, SQL Server, PostgreSQL, MongoDB, Hadoop, Spark, Hive, Impala, and HDFS; Cloud Platforms: AWS S3, Microsoft Azure, and Google Cloud Platform (GCP); Data Modeling & Design: Star Schema, Snowflake Schema, and Dimensional Modeling Version Control: Git, GitHub, and GitLab; Data Integration & APIs: RESTful APIs, WSDL, JSON, XML, Postman, and SoapUI; API Development & Management: Snowflake Streamlit, microservices architecture, and cursor-based operations; Security & Compliance: Active Directory, SSL/TLS, encryption, and data governance standards; Operating Systems: Windows, Linux, UNIX, and Mainframes; Project Management Tools: JIRA, Monday.com; and Development Methodologies: Agile and Waterfall. Telecommuting permitted. 5% domestic travel required.

THIS POSITION IS ELIGIBLE FOR THE EMPLOYEE REFERRAL PROGRAM

Apply online at https://greenmountainpower.com/careers/ (Job ID: 4042189).

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