... of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to ... This leader defines the strategy, architecture, and operating model for AssetWatch's data platform ...
Quick apply
... of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to ... This leader defines the strategy, architecture, and operating model for AssetWatch's data platform ...
Predictive Operational Intelligence: Expertise in managing data-driven security models that ... advanced Access Control. Proactive Intelligence & Threat Monitoring: Extensive expertise in ...
Predictive Operational Intelligence: Expertise in managing data-driven security models that ... advanced Access Control. Proactive Intelligence & Threat Monitoring: Extensive expertise in ...
Product Design Engineer
Bud, WV · On-site
$125K - $151K/yr
You will take complex, datadense outputs-including AI model results, time series telemetry, fault ... control. * Familiarity with modern application lifecycles, including CI/CD, deployment, and ...
Product Design Engineer
Bud, WV · On-site
$125K - $151K/yr
You will take complex, datadense outputs-including AI model results, time series telemetry, fault ... control. * Familiarity with modern application lifecycles, including CI/CD, deployment, and ...
... predictive analytics tools to deliver impactful solutions and help our clients achieve business ... Competencies: · Alteryx · Power Automate · PowerBI · Data Architecture · Data Modeling ...
Quick apply
... predictive analytics tools to deliver impactful solutions and help our clients achieve business ... Competencies: · Alteryx · Power Automate · PowerBI · Data Architecture · Data Modeling ...
Product Design Engineer
Bud, WV · On-site
$125K - $151K/yr
You will take complex, datadense outputs-including AI model results, time series telemetry, fault ... control. * Familiarity with modern application lifecycles, including CI/CD, deployment, and ...
Product Design Engineer
Bud, WV · On-site
$125K - $151K/yr
You will take complex, datadense outputs-including AI model results, time series telemetry, fault ... control. * Familiarity with modern application lifecycles, including CI/CD, deployment, and ...
Senior Reliability Mechanic, West Virginia (Weekday Days) - Full Time
Martinsburg, WV · On-site
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia (Weekday Days) - Full Time
Martinsburg, WV · On-site
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia (Weekday Days) - Full Time
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia (Weekday Days) - Full Time
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia - Full Time
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia - Full Time
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia - Full Time
Martinsburg, WV · On-site
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia - Full Time
Martinsburg, WV · On-site
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia (4 Nights) - Full Time
Martinsburg, WV · On-site
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
Senior Reliability Mechanic, West Virginia (4 Nights) - Full Time
Martinsburg, WV · On-site
$29.69 - $47.93/hr
Combine electronic, mechanical, computer and control skills to allow for identification of ... Role model safety best practices and monitor those around them to ensure they follow the example ...
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?
| Aspect | Model Predictive Control | Control Systems Engineer |
|---|---|---|
| Credentials | Engineering degree, control theory, process modeling | Engineering degree, control systems, automation |
| Work Environment | Industrial automation, process control, manufacturing | Design, develop, and maintain control systems across industries |
| Industry Usage | Process industries, chemical, oil & gas, manufacturing | Automation, 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 job categories do people searching Model Predictive Control jobs in West Virginia look for? The top searched job categories for Model Predictive Control jobs in West Virginia are:
Full-time
Retirement, PTO
Posted 12 days ago
Job description
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.
Director of Data Platforms & Governance
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.
With a bleeding edge tech stack, we have a unique opportunity to scale how we operate as a data-driven and AI-ready organization. If you love the startup life and the sense of urgency where the platforms you build materially impact the organization's growth, let us talk.
The Director of Data Platforms & Governance owns data as a first-class company asset, ensuring it is reliable, well-governed, discoverable, and ready to power analytics, AI, and product innovation.
This leader defines the strategy, architecture, and operating model for AssetWatch's data platform while building and leading the team responsible for delivering it. The role works closely with Product, Engineering, Analytics, AI, Security, and Enterprise Applications leadership to ensure the company's systems and data evolve together.
What You'll Do
Define Data Platform Strategy: In partnership with senior leadership, define the vision, roadmap, and operating model for AssetWatch's data platform, ensuring it supports analytics, product development, and AI initiatives across the organization.
Lead the Data Platforms Organization: Build, lead, and develop the data platforms team, establishing clear goals, accountability, and performance expectations. Develop managers and engineers while fostering a culture of ownership, collaboration, and continuous improvement.
Set Organizational OKRs: Partner with executive leadership to define strategic OKRs for the data platform organization and translate them into measurable goals for teams and individuals.
Own Data as a Company Asset: Establish the governance framework that ensures data across the organization is well-defined, trusted, and properly managed, including dataset ownership, data definitions, lineage, access controls, and lifecycle management.
Data Platform Architecture: Design and evolve AssetWatch's cloud data platform using AWS technologies such as S3, Glue, Athena, Redshift, and Lambda to support scalable analytics, reporting, and AI workloads through MCPs.
Data Ingestion & Pipelines: Oversee the development and reliability of data pipelines ingesting information from product telemetry, APIs, and enterprise SaaS systems.
Curated Data & Data Modeling: Lead the creation of trusted datasets used for reporting, operational decision making, and machine learning.
AI-Ready Data Infrastructure: Ensure the company's data platform is structured to support AI and machine learning initiatives by enabling reliable, well-modeled data inputs for ML pipelines and advanced analytics.
Enterprise Systems Data Integration: Partner closely with Enterprise Applications leadership to ensure systems such as Salesforce, finance platforms, and customer success tools integrate cleanly into the data platform.
Data Quality & Reliability: Establish monitoring and operational processes that ensure data accuracy, pipeline reliability, and data freshness.
Security, Privacy & Compliance: Work with IT and Security teams to ensure the data platform meets SOC2 and privacy requirements including access control, encryption, audit logging, and retention policies.
Operational Efficiency: Eliminate manual reporting workflows and redundant integrations by creating scalable, automated data pipelines and shared data models.
Cross-Functional Leadership: Lead highly visible initiatives that align teams across engineering, product, operations, and leadership to improve data reliability and organizational decision-making.
Who You Are
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
10+ years of experience in data engineering, analytics platforms, or data infrastructure roles, including experience leading teams.
Experience defining and executing data platform strategy in a cloud environment.
Strong experience building and operating data platforms using AWS technologies such as S3, Glue, Athena, Redshift, and Lambda.
Experience building and managing teams responsible for data engineering, analytics infrastructure, or data platforms.
Strong experience designing ETL/ELT pipelines that integrate data from APIs, SaaS systems, and product telemetry.
Experience implementing data governance frameworks, including dataset ownership models, data definitions, and access controls.
Strong SQL and data modeling expertise, with experience building curated datasets used across analytics and operational reporting.
Experience integrating data from enterprise business systems, particularly:
- Salesforce
- Finance and operational reporting systems
- Customer Success or support platforms
Experience with NetSuite or similar ERP systems is a strong plus.
Experience supporting analytics, BI, data science, or AI/ML teams with scalable data infrastructure.
Strong leadership and communication skills with the ability to influence cross-functional stakeholders and executive leadership.
Ability to operate with high autonomy, exercising wide latitude in determining objectives and approaches to complex initiatives.
Proven ability to build high-performing teams, hold teams accountable for outcomes, and deliver against strategic commitments.
What We Offer:
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that's why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.
- Competitive compensation package including stock options
- Flexible work schedule
- Comprehensive benefits including retirement plan match
- Opportunity to make a real impact every day
- Work with a dynamic and growing team
- Unlimited PTO
We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.