ZipRecruiter

Log In

1

Model Predictive Control Jobs in Georgia (NOW HIRING)

Southern States LLC

Power Electronics Engineer I

Hampton, GA · On-site

$109K - $129K/yr

Familiarity with advanced control strategies, such as model predictive control or PWM techniques for multilevel converters. * Experience with embedded systems, FPGA/DSP programming, or real-time ...

Munich Re

Data Scientist

Atlanta, GA · On-site +1

We focus on developing and maintaining predictive models that support all domains across the ... version control, and agile frameworks using tools like Azure DevOps. Skills / Knowledge ...

MARS Solutions Group

AI/ML Engineer

Vinnings, GA · On-site

This role involves building intelligent workflows, predictive models, data driven insights, and ... Understanding of authentication, authorization, and access control frameworks. PHYSICAL DEMANDS:

New

Verathon Inc

Data Scientist

Duluth, GA · On-site

This position involves analyzing large-scale IoT data from water meters, building predictive models ... Experience with version control systems (Git). * Understanding of software development best ...

neptune technologies

Data Scientist

Duluth, GA · On-site

This position involves analyzing large-scale IoT data from water meters, building predictive models ... version control systems (Git). • Understanding of software development best practices. • ...

Neptune

Data Scientist

Duluth, GA · On-site

This position involves analyzing large-scale IoT data from water meters, building predictive models ... version control systems (Git). • Understanding of software development best practices. • ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

... models for water consumption forecasting, anomaly detection, leak detection, and predictive ... control systems (Git) and CI/CD pipelines. • Continued professional self-improvement through ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... models for water consumption forecasting, anomaly detection, leak detection, and predictive ... control systems (Git) and CI/CD pipelines. • Continued professional self-improvement through ...

Novelis

Sr Data Scientist (APM)

Atlanta, GA

... control. This is a hands-on senior data science role with a reliability focus. The Senior Data ... Experience developing analytical or predictive models using time-series data, sensor data ...

NOVELIS

Sr Data Scientist (APM)

Atlanta, GA · On-site

... control. This is a hands‑on senior data science role with a reliability focus. The Senior Data ... Experience developing analytical or predictive models using time-series data, sensor data ...

next page

Showing results 1-20

All JobsModel Predictive Control JobsModel Predictive Control Jobs in Georgia

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 Georgia?

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

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

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

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

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

Model Predictive Control jobs near you
Infographic showing various Model Predictive Control job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Robotics Navigation and Control Engineer

Atlanta, GA

Slip Robotics
Transportation and Warehousing • 1 - 10 employees
Learn more about Slip Roboticsexternal

Full-time

Medical, Dental, Vision

Re-posted 26 days ago

Job description

About Slip Robotics

Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.

The Role

We are looking for a Robotics Navigation and Control Engineer to own the motion planning, path planning, and control systems on our autonomous mobile robots. Our robots navigate constrained spaces-inside trailers, across loading docks, and through active warehouse floors-carrying heavy loads with tight tolerances. This role is responsible for making that movement safe, precise, and reliable.

We need someone who has shipped navigation and controls software on real robots at real customer sites. You should have hands-on experience tuning controllers on physical hardware, dealing with wheel slip, load dynamics, and the gap between simulation and reality. Academic publications are great, but production deployment experience is what matters here.

Key Responsibilities
  • Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots operating in constrained logistics environments
  • Develop and tune motion controllers (PID, MPC, or similar) for heavy-payload platforms with real-world dynamics
  • Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure
  • Own the localization stack, working with perception engineers to integrate sensor-based position estimates into the control loop
  • Build simulation models and validate them against real robot behavior for faster development iteration
  • Analyze and improve robot performance using field data, telemetry, and logs from deployed systems
  • Collaborate with perception, hardware, and cloud infrastructure teams to deliver integrated autonomy features
  • Contribute to CI/CD pipelines for controls software testing and deployment to the robot fleet

Requirements

  • 5+ years of professional experience developing navigation and control systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep understanding of motion planning algorithms (A*, D*, RRT variants, lattice planners, or similar)
  • Hands-on experience designing and tuning controllers for mobile robot platforms
  • Production experience with ROS or ROS 2 navigation stacks
  • Experience with localization techniques (EKF, particle filters, scan matching, visual odometry)
  • Demonstrated ability to bridge the sim-to-real gap-tuning algorithms that work on actual hardware, not just in simulation
  • Comfort analyzing system behavior from logs and telemetry data
  • Strong communication skills and ability to work effectively in a small team
Nice to Have
  • Master's degree or higher in Robotics, Controls, Mechanical Engineering, or a related field
  • Experience with model predictive control (MPC) or adaptive control approaches
  • Experience with AWS IoT, Greengrass, or edge computing for fleet-scale robot management
  • Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments
  • Background in logistics, warehousing, or heavy-payload robotics
Remote Work Requirements

This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration, testing, and tuning on physical robots. A company laptop and necessary peripherals will be provided.

Benefits

What We Offer
  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project

Apply