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

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team ... Apply software engineering best practices including code reviews, version control, testing ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team ... Apply software engineering best practices including code reviews, version control, testing ...

Carvana

Senior Data Engineer, Predictive Modeling

Tempe, AZ · On-site

$101K - $137K/yr

Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the team ... Apply software engineering best practices including code reviews, version control, testing ...

IVID TEK INC

GCP Data Engineer

Phoenix, AZ · On-site

$55/hr

Implement and support Git-based version control, continuous integration, and continuous delivery ... data models designed for downstream AI/ML solutions and predictive analytics. Required ...

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

... Governance, and Control space. You will translate complex business requirements into scalable ... Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics

USAA

Data Scientist (Mid-Level)

Phoenix, AZ · On-site +1

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

USAA Careers

Data Scientist (Mid-Level)

Phoenix, AZ · On-site +1

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

USAA

Data Scientist (Mid-Level)

Phoenix, AZ · On-site +1

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

USAA

Data Scientist (Mid-Level)

Phoenix, AZ · On-site +1

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

USAA Careers

Data Scientist (Mid-Level)

Phoenix, AZ · On-site

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... OR 4 years of relevant education and/or experience. * 4 years of experience in a predictive ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Standardizing, and documenting control models and methodologies. * Predictive analytics and statistical applications including modeling, machine learning, data science, process control methods, and ...

TSMC

Quality Management Engineer

Phoenix, AZ · On-site

$88K - $114K/yr

Standardizing, and documenting control models and methodologies. * Predictive analytics and statistical applications including modeling, machine learning, data science, process control methods, and ...

TalentBridge

Data Scientist

Phoenix, AZ · On-site

... models, and predictive analytics solutions. * Strong understanding of machine learning concepts ... Familiarity with version control tools (Git) and collaborative development practices. * Familiarity ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... control systems, and other complex components. You will help shape the next generation of ... models into design processes, enabling faster trade studies, optimization, and predictive analysis ...

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All JobsModel Predictive Control JobsModel Predictive Control Jobs in Phoenix, AZ

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.

Senior Data Engineer, Predictive Modeling

Tempe, AZ • On-site

Carvana
Automobile Dealers • 5 - 10K employees
Learn more about Carvanaexternal

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Carvana rating

7.0

Company rating: 7.0 out of 10

Based on 282 frontline employees who took The Breakroom Quiz

Job description

About Carvana...
At Carvana, we're changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years.
Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we're just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical.
Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you'll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you're driven to grow and make an impact as part of a collaborative team, you'll fit right in. Learn more about what it's like to work here from the people that already do.
Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday.
About the team and position
In today's world, data is king and this is the team with all the data. If you're excited about understanding complex data sets from disparate sources, this is the team for you. Our data science and analytics team automates everything Carvana does from modeling consumer behavior to understanding how to make our users' lives better.
We're not just building data pipelines; we're engineering intelligent systems that predict the future and automate complex decisions. This team takes data from across Carvana and external sources to understand past consumer behavior and predict future trends. Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI agents that accelerate our analysts' productivity, we engineer solutions that directly impact millions of customers. As a Senior Data Engineer on this team, you'll help architect the technical foundation that makes our data science magic possible and scalable.
What you'll be doing
  • Refactor and productionalize Python code from Data Scientists and Analysts, transforming experimental notebooks into reliable, maintainable, and production-ready applications with proper testing, error handling, and documentation.
  • Design, architect, and maintain robust, scalable predictive modeling data pipelines across our data science ecosystem.
  • Design, develop, and maintain internal tooling that accelerates productivity for our Analysts, Data Scientists, and Data Engineers.
  • Support data scientists and software engineers in building and deploying new RESTful services.
  • Apply software engineering best practices including code reviews, version control, testing frameworks, and continuous integration to ensure high-quality, maintainable codebases.
  • Design and develop high-availability applications using technologies like Docker and Kubernetes with focus on scalability, reliability, and observability.
  • Develop comprehensive solutions for application logging, error reporting, alerting, and task scheduling across distributed systems.
  • Design both relational and non-relational data models for optimal storage and retrieval, considering performance, cost, and maintainability.
  • Create robust ETL/ELT processes to integrate data between different systems and formats, ensuring data quality and lineage tracking.
  • Design processes that contain sensitive data in a responsible manner (using certificates, hashing, AD permissions), ensuring that necessary security practices are followed.
  • Read beyond initial project specifications to identify opportunities for improvement, additional functionality, and technical debt reduction.
  • Collaborate with stakeholders to translate business requirements into scalable technical solutions.
  • Mentor junior engineers and provide technical guidance on software engineering practices and data architecture decisions.
  • Stay current with emerging technologies in data engineering, AI/ML tooling, and agentic workflows that can enhance team capabilities.
  • Excellent communication skills to explain technical concepts clearly
  • Other duties as assigned.

What you should know
  • Bachelor's degree in Computer Science, Engineering, Applied Math, or Hard Sciences, or similar field from an accredited undergraduate institution required.
  • 5+ years of experience in data engineering and data warehousing.
  • 2+ years of experience building production systems designed for scalability, availability, and robustness with emphasis on code quality and maintainability.
  • Strong software engineering fundamentals including object-oriented design, design patterns, testing methodologies, and code review practices.
  • Strong experience with at least one cloud service platform provider (AWS, GCP, Azure).
  • Strong coding and application development skills in Python.
  • Strong experience with enterprise software development using modern tools and approaches including:
    • Docker, Kubernetes, and container orchestration
    • Continuous Integration/Continuous Deployment (CI/CD) pipelines
    • Version control systems (Git) and collaborative development workflows
    • Code quality tools (linting, static analysis, dependency management)
  • Fluency in SQL and NoSQL databases with understanding of data modeling and optimization techniques.
  • Knowledge of API design, microservices architecture, and integration patterns for connecting AI agents with backend systems.
  • Familiarity with DevOps principles and CI/CD pipelines
  • Ability to independently manage and prioritize efforts and complete projects.
  • Experience with AI/ML tooling and agentic workflow development is a strong plus.
  • Strong communication skills with ability to explain technical concepts to both technical and non-technical stakeholders.

The technical stack you'll be able to work with includes
  • Docker / Kubernetes
  • Cloud service platform providers (GCP, Azure)
  • Python
    • Flask
    • Object-oriented Programming
    • Data Science ecosystem (numpy, scikit-learn, Jupyter)
  • Snowflake
  • SQL Server and various database technologies
  • Apache Spark, DataBricks
  • Git

What we'll offer in return
  • Full-Time Salary Position with a competitive salary.
  • Medical, Dental, and Vision benefits.
  • 401K with company match.
  • A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
  • A great wellness program to keep you healthy and happy both physically and mentally.
  • Access to opportunities to expand your skill set and share your knowledge with others across the organization.
  • A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development.
  • A seat in one of the fastest-growing companies in the country.

Other requirements
To be able to do your job at Carvana, there are some basic requirements we want to share with you.
  • Must be able to read, write, speak and understand English.

Of course, we'll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs.
Legal stuff
Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship.
Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories.
Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What Carvana employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Carvana

Sourced by ZipRecruiter

At Carvana, we sell cars, but we're not salespeople. Since 2013, we've been making it our mission to change the way people buy cars. We saw a huge problem with how much it can suck to buy a car the traditional way, so we committed ourselves to tackling one of the largest, yet-to-be-disrupted markets in the world - the $1T per year U.S. car market (yes, that's $Trillion with a "T").

Industry

Automobile dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Tempe, AZ, US

Year founded

2011

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