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Model Predictive Control Jobs in Arizona (NOW HIRING)

ServiceNow Architect

Chandler, AZ · On-site

$70.25 - $88.50/hr

... models, integrations, and workflows. * Governance & Security: Establish governance processes to ... In-depth knowledge of ServiceNow update sets, version control, deployment processes, and platform ...

... predictive algorithms based on proprietary behavioral, psychological and personality testing ... The position also participates with management of drainage and flood control studies, manages the ...

... predictive algorithms based on proprietary behavioral, psychological and personality testing ... The position also participates with management of drainage and flood control studies, manages the ...

... predictive capabilities, and workflow optimization. * Collaborate closely with engineering ... Familiarity with MLOps/LLMOps practices, including model versioning, experiment tracking ...

... predictive modeling, and data analysis. * Knowledge and understanding of research software ... including version control, CI/CD, and API development. * Ability to identify high-impact ...

Software Development Manager

Phoenix, AZ · On-site

$120K - $158K/yr

Lead development of intelligent onboard capabilities, predictive device health monitoring ... Proficiency with version control systems (Git) and CI/CD pipeline tooling. * Familiarity with ...

Software Development Manager

Phoenix, AZ · On-site

$120K - $158K/yr

Lead development of intelligent onboard capabilities, predictive device health monitoring ... Proficiency with version control systems (Git) and CI/CD pipeline tooling. * Familiarity with ...

... control, and status reporting with clear key performance indicators, value realization, and ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

... control, and status reporting with clear key performance indicators, value realization, and ... Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ...

... predictive analytics. * Prototype and support AI / GenAI / agentic use-cases that augment Design Control execution- for example, automated executive summaries, anomaly detection on milestone drift ...

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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 Arizona? For Model Predictive Control jobs in Arizona, the most frequently searched job titles are:
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Infographic showing various Model Predictive Control job openings in Arizona as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% In-person job distribution.

ServiceNow Architect

Stellar IT Group

Chandler, AZ • On-site

$70.25 - $88.50/hr

Full-time

Re-posted 18 days ago


Job description

Overview:
Job Title: ServiceNow Architect
Job Type: FTE
Location: Chandler, AZ (Hybrid)
Key Responsibilities:
  • Solution Architecture: Lead the design and implementation of end-to-end ServiceNow solutions, including ITSM, ITOM, ITBM, ITAM, HRSD, and other ServiceNow applications.
  • Strategic Planning: Collaborate with business stakeholders, project managers, and technical teams to define the architectural vision and roadmap for ServiceNow implementations.
  • Customization & Configuration: Oversee the customization and configuration of ServiceNow modules, ensuring best practices and scalability.
  • Integration Design: Architect integrations between ServiceNow and third-party systems (such as LDAP, Active Directory, SAP, and custom APIs), ensuring seamless data flow and system interoperability.
  • Leadership & Mentorship: Provide technical leadership and guidance to development teams, ensuring the adoption of best practices and consistent, high-quality coding standards.
  • Platform Optimization: Identify opportunities to optimize ServiceNow environments for performance, usability, and cost-efficiency, including reviewing data models, integrations, and workflows.
  • Governance & Security: Establish governance processes to ensure the integrity, security, and compliance of ServiceNow environments, including the proper management of data, access control, and system configurations.
  • Client Engagement: Act as a subject matter expert, providing advice and recommendations to clients on ServiceNow architecture, process automation, and platform capabilities.
  • Documentation: Produce comprehensive solution documentation, including architecture diagrams, workflows, and implementation guides.
  • Upgrades & Enhancements: Lead efforts for system upgrades, patching, and platform enhancements, ensuring minimal impact on operations and aligning with new ServiceNow releases and features.

Required Qualifications:
  • Experience: 5+ years of hands-on experience designing and implementing ServiceNow solutions, with at least 3 years in a lead or architect role
  • Technical Skills:
    • Expertise in ServiceNow architecture, design, and configuration, including ITSM, ITOM, ITBM, HRSD, and CMDB
    • 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
  • Certifications: ServiceNow Certified Application Developer (CAD), ServiceNow Certified System Administrator (CSA), or ServiceNow Certified Technical Architect (CTA) preferred
  • ITIL Knowledge: Strong understanding and practical experience with ITIL frameworks, particularly Incident, Problem, Change Management, and Configuration Management, and the ability to map these processes to ServiceNow capabilities
  • Project Management: Experience with agile methodologies and managing large-scale ServiceNow implementations
  • Leadership & Communication: Strong leadership abilities with experience managing cross-functional teams, guiding developers, and liaising with stakeholders at all levels. Excellent written and verbal communication skills

Preferred Qualifications:
  • Experience with ServiceNow ITOM modules (Discovery, Orchestration, Event Management)
  • Familiarity with cloud technologies (AWS, Azure, etc.) and their integration with ServiceNow
  • Experience with DevOps and CI/CD pipelines for ServiceNow deployments
  • Knowledge of automation tools and frameworks to drive operational efficiencies

Skills:
ServiceNow