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

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

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 ...

New

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

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 ...

New

... 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 ...

New

... predictive and prescriptive analytics. * Develop financial models, including whole lifecycle cost ... Contribute to leading thinking on emerging business and asset management topics. * SOX control ...

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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 Jul 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 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 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:
Software Engineer

Software Engineer

Intel

Phoenix, AZ • On-site

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers


Job description

Job Details:Job Description: 

At Advanced Packaging and Technology Manufacturing Group, we build software tools and technologies that help shape the future of foundry and Intel products. Our work in advanced packaging and silicon enablement supports engineering teams in staying at the forefront of cutting-edge semiconductor technologies. We operate in a fast-paced, research-driven environment where innovation, collaboration, and technical excellence are critical to success.

In this role, we are looking for a strong team player who can help redefine and shape the next generation of software automation and engineering tools through the end-to-end infusion of AI/ML technologies.

The ideal candidate will contribute to building intelligent, scalable, and efficient software solutions that accelerate engineering workflows, improve productivity, and support innovation across advanced packaging and silicon development initiatives. This role requires someone who is comfortable working in a dynamic environment, partnering with technical teams, and applying AI/ML across the full software development lifecycle.

Key Responsibilities

  • Design, develop, and enhance software tools and automation solutions that support engineering workflows in advanced packaging and silicon enablement.
  • Apply AI/ML techniques end-to-end to improve tool capability, automation, decision support, and workflow efficiency.
  • Build and integrate intelligent features into software systems, including data-driven automation, predictive capabilities, and workflow optimization.
  • Collaborate closely with engineering, research, and product teams to understand requirements and translate them into scalable technical solutions.
  • Contribute to the architecture, design, implementation, testing, and deployment of AI/ML-enabled software tools.
  • Develop robust, maintainable, and production-quality code in a fast-paced development environment.
  • Evaluate new AI/ML technologies, frameworks, and approaches to drive innovation in engineering productivity and automation.
  • Support experimentation, prototyping, and iterative refinement of new solutions in a research-focused setting.
  • Ensure software solutions are reliable, scalable, and aligned with engineering and business goals.
  • Participate in code reviews, design discussions, and cross-functional technical problem-solving.

Behavioral traits

  • Work effectively in a fast-paced, research-driven environment with evolving requirements.
  • Problem-solving, analytical thinking, and communication skills.
  • Work independently as well as collaboratively within a multidisciplinary team.
Qualifications:

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Knowledge and/or experience listed below would be obtained through a combination of your school/work and/or classes and/or research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

  • Master's degree in AI/ML, Data Science/ Computer science, Software Engineering, Electrical Engineering.
  • 6 months of experience in:
    • Software development skills with experience in building engineering applications, automation tools, or enterprise software solutions.
    • Hands-on experience with AI/ML technologies and their practical application in software systems.
    • Programming languages such as Python, C++, Java, or similar.
    • Software design, development, testing, and debugging in a collaborative environment.

Preferred Qualifications

  • Hands on experience designing, deploying, and maintaining scalable, reliable AI/ML production systems.
  • End-to-end experience with generative AI and LLM-based solutions, including prompt engineering, embeddings, vector databases, semantic search, and RAG workflows.
  • Foundations in data structures, algorithms, and software engineering principles.
  • Hands-on experience building scalable applications, backend services, APIs, or distributed systems, including integration of ML models into software.
  • Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPC APIs, or serverless architectures.
  • Familiarity with MLOps/LLMOps practices, including model versioning, experiment tracking, monitoring, and performance evaluation.
  • Understanding of system design, distributed computing, performance optimization, security, privacy, and responsible AI principles.
  • Experience working with large-scale datasets, data pipelines, or big data/streaming technologies such as Spark, Databricks, or Kafka.
  • Familiarity with databases (SQL/NoSQL), version control, testing, CI/CD, and cloud-native development practices.

Join Intel and contribute to shaping the future of technology. Be a part of a dynamic team committed to delivering innovative solutions that address the needs of a rapidly evolving world. Apply today to take the next step in your career.

Job Type:College GradShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:US, Oregon, HillsboroBusiness group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $111,030.00-156,740.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968