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

M&T Bank

Engineering Analytics Lead

Buffalo, NY · On-site

Leads the collection, integration, analysis, and predictive modeling of data across the Software ... Design and develop analytical frameworks that integrate data across source control, CI/CD pipelines ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY

Leads the collection, integration, analysis, and predictive modeling of data across the Software ... Design and develop analytical frameworks that integrate data across source control, CI/CD pipelines ...

Munich Re

Data Scientist, AI

Buffalo, NY · On-site +1

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

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Showing results 1-20

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

Model Predictive Control information

See Concord, NY salary details

$55.9K

$98.1K

$133.1K

How much do model predictive control jobs pay per year?

As of Aug 1, 2026, the average yearly pay for model predictive control in Concord, NY is $98,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $109,700.00 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 Concord, NY are hiring for Model Predictive Control jobs? Cities near Concord, NY with the most Model Predictive Control job openings:
Model Predictive Control jobs near you

Engineering Analytics Lead

M&T Bank

Buffalo, NY • On-site

Full-time

Posted 16 days ago

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 185 frontline employees who took The Breakroom Quiz

88th of 170 rated banks

Job description

Overview
Responsible at the expert level for transforming engineering, operational, security, and quality data into actionable insights that improve developer experience and software delivery outcomes. Leads the collection, integration, analysis, and predictive modeling of data across the Software Development Lifecycle (SDLC), observability platforms, incident management systems, production change processes, security tooling, and quality platforms. Contributes to the stability, resilience, quality, and effectiveness of technology delivery through advanced analytics, measurement frameworks, and data-driven recommendations while coaching others.
Primary Responsibilities
  • Design and develop analytical frameworks that integrate data across source control, CI/CD pipelines, quality platforms, observability tools, incident management systems, production change systems, security platforms, and software development tools.
  • Define, implement, and govern engineering metrics that measure developer experience, software quality, release readiness, operational resilience, engineering productivity, and technology risk.
  • Develop predictive models and data-driven insights to identify potential release risks, quality concerns, reliability issues, security vulnerabilities, and delivery bottlenecks before they impact production.
  • Perform advanced statistical analysis, trend analysis, and failure analysis to identify patterns impacting software delivery performance and operational health.
  • Create engineering scorecards, executive dashboards, and self-service reporting capabilities that provide visibility into engineering effectiveness and delivery outcomes.
  • Analyze relationships between code changes, deployment activity, incidents, vulnerabilities, observability signals, and production outcomes to identify leading indicators of risk.
  • Partner with Software Engineering, Site Reliability Engineering, Cybersecurity, Infrastructure, Risk, Architecture, and Product teams to establish common measurement frameworks and data definitions.
  • Establish standards and best practices for engineering data collection, metric governance, and analytics platform design.
  • Provide recommendations that improve software quality, developer productivity, deployment success rates, operational resilience, and customer outcomes.
  • Translate complex data and technical findings into actionable recommendations for engineering leaders, executives, and business stakeholders.
  • Present findings and insights at leadership reviews, architecture forums, engineering community events, and internal knowledge-sharing sessions.
  • Contribute to the evolution of Developer Experience strategy through measurement, experimentation, benchmarking, and continuous improvement initiatives.
  • Understand and adhere to the Company's risk and regulatory standards, policies, and controls in accordance with the Company's Risk Appetite.
  • Identify risk-related issues requiring escalation to management.
  • Promote an environment that supports a culture of belonging and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of audit findings and regulatory requirements.
  • Complete other related duties as assigned.

Scope of Responsibilities
Serves as a senior individual contributor and subject matter expert for engineering analytics, developer experience measurement, and predictive engineering intelligence.
Supervisory/Managerial Responsibilities
No supervisory responsibilities.
Education and Experience Required
  • Associate's degree and a minimum of 7 years' systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year's education and/or relevant work experience, including a minimum of 5 years' system analysis and/or application development work experience.
  • Advanced experience with data analysis, statistical modeling, predictive analytics, and dashboard development.
  • Experience integrating data from multiple enterprise platforms and engineering systems.
  • Proficiency with SQL and at least one analytical programming language such as Python or R.
  • Experience working with large-scale operational, engineering, or observability datasets.

Education and Experience Preferred
  • Experience measuring Developer Experience, Engineering Effectiveness, DORA metrics, Flow Metrics, SPACE Framework, or related engineering productivity models.
  • Experience with observability platforms such as Datadog, Splunk, Dynatrace, New Relic, Grafana, or Elastic.
  • Experience integrating data from GitLab, GitHub, Jenkins, SonarQube, Jira, ServiceNow, CI/CD platforms, security scanning tools, and cloud environments.
  • Knowledge of software development, release management, Site Reliability Engineering, and production operations.
  • Advanced statistical analysis and machine learning experience.
  • Experience developing predictive risk models and operational analytics.
  • Strong storytelling and executive communication skills.
  • Experience influencing strategy and decision-making through data.
  • Experience leading enterprise analytics initiatives without direct people management responsibilities.

#LI-JB3
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $116,400.00 - $194,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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