ZipRecruiter

Log In

1

Model Predictive Control Jobs in California (NOW HIRING)

Mind Robotics

Controls Engineer

Palo Alto, CA · On-site

$98K - $127K/yr

Experience with whole‑body control, trajectory optimization, or model predictive control on legged or manipulator systems * Familiarity with field‑oriented control (FOC) or other motor control ...

previous pagenext page

Showing results 21-40

All JobsModel Predictive Control JobsModel Predictive Control Jobs in California

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 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 California?

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

What job categories do people searching Model Predictive Control jobs in California look for?

The top searched job categories for Model Predictive Control jobs in California are:

What cities in California are hiring for Model Predictive Control jobs?

Cities in California with the most Model Predictive Control job openings:

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 5% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Simulation and Control Systems Engineer - Platform Architecture

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$150K - $225K/yr

Full-time

Medical, Dental, Retirement

Re-posted 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Apple's Platform Architecture team is looking for a Simulation and Control Systems Engineer with a strong software background to help develop advanced thermal and power management algorithms. In this role, you will collaborate with a cross-functional team to design, implement, and validate algorithms that power millions of Apple devices worldwide.
Description
In this role, you will design, implement, debug, and validate control and estimation algorithms for complex thermal and electrical systems. You'll work closely with electrical and thermal engineering teams to interpret system requirements and constraints, and partner with software engineering teams to ensure that control algorithms are integrated in a robust, scalable, and efficient manner.
You will design and execute experiments for modeling and validation, collect and analyze data, and identify potential issues. When challenges arise, you'll be expected to propose thoughtful fixes and architectural decisions to ensure system performance and reliability.
This role offers a unique opportunity to work across hardware and software domains and to contribute directly to the performance of Apple's world-class products.
Preferred Qualifications
3 years relevant industry experience.
M.S. or Ph.D. in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or Computer Science, with a focus on control systems or robotics, or equivalent professional experience.
Proficiency in C++.
Experience with software engineering workflows, including Git, code review, and CI/CD pipelines.
Strong knowledge of system identification, estimation theory, and statistical learning methods.
Knowledge of optimal and robust control, adaptive control, model predictive control and/or task and trajectory planning.
Ability to communicate complex control and algorithmic concepts clearly to cross-functional hardware and software teams.
Minimum Qualifications
BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science or similar degree.
Hands-on experience in control systems development. (Such as modeling, algorithm design, simulation, implementation and/or testing)
Experience in Python or MATLAB.
Experience implementing control algorithms on embedded microcontroller platforms.
Experience with optimization techniques and modern control theory.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply