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Model Predictive Control Jobs in Phoenix, AZ (NOW HIRING)

Komatsu

Inventory Planner

Mesa, AZ · On-site

... lead times, and predictive analytics to develop inventory stocking strategies that improve ... Model, and the Supply Chain Control Tower. * Support standardization of enterprise planning ...

Komatsu

Inventory Planner

Mesa, AZ · On-site

... lead times, and predictive analytics to develop inventory stocking strategies that improve ... Model, and the Supply Chain Control Tower. * Support standardization of enterprise planning ...

Komatsu

Inventory Planner-Mesa, Arizona

Guadalupe, AZ · On-site

... lead times, and predictive analytics to develop inventory stocking strategies that improve ... Model, and the Supply Chain Control Tower. * Support standardization of enterprise planning ...

Pwc

AI Solutions Engineering Delivery Lead

Phoenix, AZ · On-site

$101K - $134K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... control and continuous improvement of AI solutions, closely collaborating with business ...

Deloitte

Manager - ServiceNow

Tempe, AZ · On-site +1

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

Deloitte

Manager - ServiceNow

Gilbert, AZ · On-site +1

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

SiTime Corporation

Oracle Fusion Architect

Tempe, AZ · On-site

Develop and maintain reference architectures, integration patterns, data models, security ... Ensure all solutions comply with SOX/ITGC controls, data privacy regulations, export control ...

US Bank

Fraud Strategy Data Analyst

Tempe, AZ · On-site

... models, and strategic enhancements to support investment prioritization and business case ... Support predictive fraud, AI, and analytics initiatives through performance assessment, value ...

WSP

Lead Electrical Engineer - Buildings

Tempe, AZ · On-site

$155K - $162K/yr

... and control systems in a wide variety of contexts (life science, healthcare, Federal, State, and ... Proficiency in AutoCAD and Revit, math principles, predictive models, spreadsheets, and tools.

Honeywell International, Inc.

IT Analyst I

Phoenix, AZ · On-site

... and predictive analytics to generate measurable business impact. * Learn how different systems ... Exposure to AI/GenAI concepts (prompt engineering, embeddings, model evaluation, RAG). * Experience ...

MUFG Bank, Ltd.

Workforce Management, Analyst

Tempe, AZ · Hybrid

$81K - $95K/yr

... control processes. This role includes, but is not limited to, supporting general audit ... Perform analysis using predictive modeling and statistical techniques to support decision-making ...

WSP

Lead Electrical Engineer - Buildings

Tempe, AZ

$155K - $162K/yr

... and control systems in a wide variety of contexts (life science, healthcare, Federal, State, and ... Proficiency in AutoCAD and Revit, math principles, predictive models, spreadsheets, and tools.

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Model Predictive Control information

See Phoenix, AZ salary details

$54.6K

$95.9K

$130.1K

How much do model predictive control jobs pay per year?

As of Sep 14, 2026, the average yearly pay for model predictive control in Phoenix, AZ is $95,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $107,200.00 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 are the typical challenges faced by engineers working with model predictive control 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 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 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 does a model predictive control do?

A Model Predictive Control (MPC) engineer designs control systems that use a mathematical model to predict future system behavior and optimize control actions accordingly. MPC is commonly used in industries like process control and robotics, requiring skills in control theory, programming, and system modeling. The role involves developing algorithms, tuning controllers, and ensuring system stability and efficiency.

What are popular job titles related to Model Predictive Control jobs in Phoenix, AZ?

For Model Predictive Control jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Model Predictive Control jobs in Phoenix, AZ look for?

The top searched job categories for Model Predictive Control jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Model Predictive Control jobs?

Cities near Phoenix, AZ with the most Model Predictive Control job openings:

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $95,889 per year, or $46.1 per hour.

Inventory Planner

Mesa, AZ • On-site

Komatsu
Architectural Services • 11 - 50 employees
Learn more about Komatsuexternal

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

Inventory Planner
Posting Start Date: 8/11/26
Job Location (Short): Mesa, Arizona, USA, 85210-6105
Requisition ID: 36504
Onsite or Remote: Onsite Position
Join Komatsu and Be Part of Something Big!
Job Overview
Komatsu is seeking an analytical Inventory Planner to support one of the largest mining equipment operations in North America at our brand new facility in Mesa, AZ! This onsite role is responsible for ensuring the right parts are available at the right location and the right time to support customer equipment uptime and operational success.
The ideal candidate is a highly analytical, self-motivated professional who enjoys working with data, solving operational challenges, and driving business results. In this role you will combine strong forecasting and planning experience with excellent communication skills and a passion for continuous improvement. By navigating large datasets, collaborating across functions, this individual willl be proactively identifying solutions before problems arise.
The Inventory Planner will manage inventory strategies across a broad portfolio of mining equipment parts while collaborating closely with operations, parts leadership, account managers, warehouse teams, and executive leadership. This role is ideal for a data-driven professional who enjoys solving complex supply chain challenges and influencing business decisions through forecasting and analytics
Key Job Responsibilities
  • Develop, maintain, and execute inventory plans for mining equipment product lines.
  • Manage thousands of unique parts/materials across assigned product categories.
  • Maintain regional inventory forecasts and demand plans
  • Analyze large datasets to identify trends, forecast future demand, and optimize inventory levels.
  • Collaborate with operations, rebuild teams, commercial teams, warehouse personnel, and leadership to align inventory strategies with customer demand.
  • Monitor inventory performance and make recommendations to improve stocking strategies and customer service levels.
  • Utilize ERP systems to manage planning activities, purchasing requirements, and replenishment processes.
  • Partner with business analytics teams to develop and validate inventory and forecasting reports.
  • Contribute to lifecycle demand planning, rebuild planning, major component planning, new product introductions, and other strategic inventory initiatives.
  • Develop and execute inventory planning strategies that maximize customer service, inventory availability, and working capital performance by balancing service requirements with inventory investment across SAP, S/4HANA, CTS, CDK, and regional distribution operations.
  • Leverage historical demand, fleet population, customer projects, equipment utilization, lead times, and predictive analytics to develop inventory stocking strategies that improve inventory health, fill rate, and operational performance.
  • Support enterprise planning initiatives including: Inventory Planning, Component Exchange Program (CEP), Major Component Planning, Used Equipment, Strategic Projects
  • Utilize advanced analytics, Power BI, Palantir, and the Supply Chain Control Tower to identify inventory risks, optimize planning decisions, improve reporting visibility, and drive continuous improvement initiatives supporting enterprise planning objectives.
  • Serve as a subject matter expert supporting inventory planning within SAP S/4HANA, CDK, CTS, Planning Model, and the Supply Chain Control Tower.
  • Support standardization of enterprise planning processes, planning governance, master data integrity, and inventory planning methodologies across Komatsu North America.

Qualifications/Requirements
  • Able to work onsite in Mesa, AZ
  • Four-year degree in Industrial Engineering, Supply Chain, Business Administration, Materials Management, Inventory Control, or Purchasing is preferred.
  • 5-10 years of experience in inventory planning, supply chain planning, materials management, manufacturing, distribution, or enterprise planning environments with demonstrated experience utilizing ERP planning systems, analytics platforms, and business intelligence tools.
  • Strong analytical skills, along with excellent interpersonal communication and organization skills are required
  • Proficiency in MS Office applications is required
  • Working knowledge of CDK/SAP and Warehouse Management is preferred
  • APICS Certification is a plus

Additional Information
Diversity & Inclusion Commitment
At Komatsu we come from diverse backgrounds, with unique perspectives, experiences, and contributions. We are committed to creating a workforce that is reflective of the communities we work and live in. We believe that our people are part of our shared purpose. We are authentic, ambitious, and innovative in our pursuit of Diversity & Inclusion. United, we are on a journey towards a sustainable future that creates value together.
Company Information
Komatsu is a world leader in manufacturing construction, mining, forestry, and industrial heavy equipment. Founded in 1921, Komatsu has a long history of quality, reliability, innovation, and excellence. Headquartered in Tokyo, Japan, Komatsu facilities, distributors and dealers are in more than 140 countries and employ more than 60,000 people. Komatsu offers a diverse and challenging work environment, where you can grow your skills and career, and contribute to a sustainable, clean-energy future. If you are looking for a company that values your talent and potential, be a part of something big and join a team that is shaping the world!
If you want to learn more about Komatsu, please visit our website at https://www.komatsu.com/ .

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