Collect and analyze engineering and operational plant data to build empirical dynamic process models * Configure and tune multivariable predictive controller loops parameters * Work with control room ...
Collect and analyze engineering and operational plant data to build empirical dynamic process models * Configure and tune multivariable predictive controller loops parameters * Work with control room ...
Required Skills: * Strong background in Model Predictive Control (MPC) and Whole-Body Control. * Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo)
Required Skills: * Strong background in Model Predictive Control (MPC) and Whole-Body Control. * Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo)
Required Skills: * Strong background in Model Predictive Control (MPC) and Whole-Body Control. * Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo)
Required Skills: * Strong background in Model Predictive Control (MPC) and Whole-Body Control. * Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo)
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 ...
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 ...
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 ...
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 ...
Research Scientist, World Modelling
Menlo Park, CA · On-site
$154K - $217K/yr
We innovate across related topics including self-supervised learning from video, predictive models, model-based reinforcement learning, and model-predictive control. We accomplish this by advancing ...
Research Scientist, World Modelling
Menlo Park, CA · On-site
$154K - $217K/yr
We innovate across related topics including self-supervised learning from video, predictive models, model-based reinforcement learning, and model-predictive control. We accomplish this by advancing ...
We innovate across related topics including self-supervised learning from video, predictive models, model-based reinforcement learning, and model-predictive control. We accomplish this by advancing ...
We innovate across related topics including self-supervised learning from video, predictive models, model-based reinforcement learning, and model-predictive control. We accomplish this by advancing ...
Control Systems Engineer
$200K - $250K/yr
Lead the design and implementation of control algorithms for medical devices, including closed-loop systems, adaptive control, and model predictive control. * Develop simulation models (e.g., MATLAB ...
Quick apply
Control Systems Engineer
$200K - $250K/yr
Lead the design and implementation of control algorithms for medical devices, including closed-loop systems, adaptive control, and model predictive control. * Develop simulation models (e.g., MATLAB ...
... as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our ...
... as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our ...
... as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our ...
... as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our ...
... as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our ...
... as model predictive control (MPC)-based trajectory planning. You will develop navigation solutions that seamlessly blend data-driven intelligence with principled control-theoretic guarantees. Our ...
Senior Research Scientist, Multimodal Foundation Models and Robotics
Santa Clara, CA · On-site
$115K - $147K/yr
... PID, model predictive control, and whole-body control. • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim. • Robot hardware design and hands-on building experience.
Senior Research Scientist, Multimodal Foundation Models and Robotics
Santa Clara, CA · On-site
$115K - $147K/yr
... PID, model predictive control, and whole-body control. • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim. • Robot hardware design and hands-on building experience.
Senior Research Scientist, Multimodal Foundation Models and Robotics
Santa Clara, CA · On-site
$115K - $147K/yr
... PID, model predictive control, and whole-body control. • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim. • Robot hardware design and hands-on building experience.
Senior Research Scientist, Multimodal Foundation Models and Robotics
Santa Clara, CA · On-site
$115K - $147K/yr
... PID, model predictive control, and whole-body control. • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim. • Robot hardware design and hands-on building experience.
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 ...
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 ...
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 ...
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 ...
Senior Staff Software Engineer, Motion Planning
Fremont, CA · On-site +1
$216K - $337K/yr
Proven expertise in sample-based motion planning, trajectory optimization, and model predictive control (MPC) with a track record of shipping these algorithms to production * Expertise developing ...
Quick apply
Senior Staff Software Engineer, Motion Planning
Fremont, CA · On-site +1
$216K - $337K/yr
Proven expertise in sample-based motion planning, trajectory optimization, and model predictive control (MPC) with a track record of shipping these algorithms to production * Expertise developing ...
Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026
Santa Clara, CA · On-site
... PID, model predictive control, and whole-body control; • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; • Robot hardware design and hands-on building experience.
Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026
Santa Clara, CA · On-site
... PID, model predictive control, and whole-body control; • Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim; • Robot hardware design and hands-on building experience.
... model predictive control, or reinforcement learning for physical systems. • Experience with image-based or sensor-based inference in industrial or scientific settings. • Familiarity with ...
... model predictive control, or reinforcement learning for physical systems. • Experience with image-based or sensor-based inference in industrial or scientific settings. • Familiarity with ...
Motion Planning and Controls Engineer
San Francisco, CA · On-site
$98K - $127K/yr
Experience in optimization-based motion planning and control algorithms such as Model Predictive Control. * Experience in control, estimation, modeling, and analysis of complex. multi-degree-of ...
Motion Planning and Controls Engineer
San Francisco, CA · On-site
$98K - $127K/yr
Experience in optimization-based motion planning and control algorithms such as Model Predictive Control. * Experience in control, estimation, modeling, and analysis of complex. multi-degree-of ...
Robotics Learning Engineer
Sunnyvale, CA · On-site
... of model predictive control (MPC) for locomotion • Familiarity with trajectory optimization for legged robots • Knowledge of industrial environments (construction, energy, mining, or ...
Robotics Learning Engineer
Sunnyvale, CA · On-site
... of model predictive control (MPC) for locomotion • Familiarity with trajectory optimization for legged robots • Knowledge of industrial environments (construction, energy, mining, or ...
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 is the difference between Model Predictive Control vs Control Systems Engineer?
| Aspect | Model Predictive Control | Control Systems Engineer |
|---|---|---|
| Credentials | Engineering degree, control theory, process modeling | Engineering degree, control systems, automation |
| Work Environment | Industrial automation, process control, manufacturing | Design, develop, and maintain control systems across industries |
| Industry Usage | Process industries, chemical, oil & gas, manufacturing | Automation, 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 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:
Andritz rating
8.1
Based on 18 frontline employees who took The Breakroom Quiz
149th of 486 rated machine equipment manufacturers
Job description
Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally. Why are we so successful? Because we are passionate and love what we do! We are at the forefront of future engineering technologies, with solutions that ensure the success of our clients in key industries that are shaping the future of the world we live in.
ANDRITZ has an immediate opportunity for an Advanced Process Control (APC) Engineer located in Richmond, BC. The APC Engineer will work collaboratively with our project teams to deliver exceptional value through the optimization of our customers' industrial processes by design and application of various advanced automation, digitalization, and process control technologies, including: model predictive control, machine learning and data analytics, expert systems, digital twins, and dynamic process simulation.
What You Will Be Doing
Here's an overview of your responsibilities and how you can leverage your expertise:
- Evaluate operating processes to identify areas for potential improvement
- Design APC solutions, including control strategies, and implement our technologies to optimize process performance
- Use simulation with first principles models to validate and benchmark new control strategies
- Collect and analyze engineering and operational plant data to build empirical dynamic process models
- Configure and tune multivariable predictive controller loops parameters
- Work with control room operators and process and instrument engineers to complete commissioning and control response tests
- Provide commissioning and start-up support for the completed optimization applications
- Set up and execute controller simulation and acceptance testing for large scope optimization projects
What We Have to Offer
In exchange for your commitment, we offer the following:
- A dynamic and innovative work environment where your expertise and ideas are valued
- Financial support for professional development and certifications
- Compensation that increases with capability and expertise and a comprehensive benefits package, including company-matched retirement plan and a Health Spending Account
- Paid maternity and parental leave program to support employees during this significant and exciting life event
- Competitive paid-time-off policies that includes vacation, paid holidays, and sick days
- A positive and collaborative culture that focuses on our core values and behaviors
- Flexible hybrid work model with a blend of in-office and remote work
- Regular company events and social activities to foster camaraderie
What We're Looking For
When selecting candidates, we will be looking for the following essential skills, abilities, and experience:
- Bachelor's degree in electrical, mechatronic, computer, chemical, engineering physics, or mining engineering
- Registered, or eligible for immediate registration with EGBC
- Minimum of five (5) years' experience in automation design, configuration, PLC programming, control system configuration, and troubleshooting and/or advanced process control
- Experience in the mining/mineral processing industry an asset
- Resourceful, self-managed, and goal driven but still able to work effectively in a team
- Strong interpersonal, verbal, and written communication skills
- Legally authorized to work in Canada
- Ability and willingness to travel to domestic and international locations is a must. Travel is anticipated to be 20-30%
Other valued, but non-essential skills, abilities, and experience include:
- Knowledge of predictive control theory and experience with an industrial APC platform
- Simulation of industrial processes
- Proficiency with Python, R, and SQL
- Consulting engineering experience
- Instrumentation and electrical troubleshooting
- Commissioning, construction, and start-up experience
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
