Ambitus Research
Posted 16 days agoVerified live 1d ago
Controls Engineer
Brief overview
Remote
UndergradOr in progress
$55–$85/hrStated range
3+ yrsMinimum
Model-Based Control DesignController ValidationPythonJuliapython-controlSciPyCasADido-mpcControlSystems.jlDynamic Plant ModelingNonlinear ControlRobust ControlOptimal Control
Job description
Summary
Ambitus is an applied AI product and research company that partners with domain experts and enterprises to advance frontier AI capabilities. The Controls Engineer will design and validate model-based controllers, create realistic controller-design tasks with reproducible solutions, and evaluate AI-generated solutions for technical accuracy.
Responsibilities
- Analyze plant models and design controllers that meet regulation and disturbance-rejection requirements within operating constraints
- Validate performance through simulation and analysis, identifying conflicting requirements and necessary tradeoffs
- Create realistic controller-design tasks with reproducible reference solutions and clear grading criteria
- Review solutions produced by AI models and other experts, identify technical errors, and provide actionable feedback
Skills
- • Bachelor's degree or higher in engineering or a closely related field, or equivalent professional experience
- • At least 3 years of relevant industry or applied research experience designing and validating controllers from dynamic plant models
- • We welcome backgrounds in advanced process control, energy systems, thermal systems, motor drives, and power electronics
- Researchers in nonlinear, robust, optimal, or model predictive control are also encouraged to apply
- • Proficiency with open-source tools such as python-control, SciPy, CasADi, do-mpc, or Julia's ControlSystems.jl . Experience with every package is not required
- • Ability to independently design and validate a controller from a plant model and quantitative performance requirements
- • Practical experience with challenging dynamics such as delays, interacting variables, actuator saturation, nonlinear behavior, flexible modes, or non-minimum-phase behavior
- • Ability to produce reproducible code and explain modeling assumptions, performance limitations, and technical feedback clearly in written English
Qualifications
Must Haves
- • Bachelor's degree or higher in engineering or a closely related field, or equivalent professional experience
- • At least 3 years of relevant industry or applied research experience designing and validating controllers from dynamic plant models
- • We welcome backgrounds in advanced process control, energy systems, thermal systems, motor drives, and power electronics
- Researchers in nonlinear, robust, optimal, or model predictive control are also encouraged to apply
- • Proficiency with open-source tools such as python-control, SciPy, CasADi, do-mpc, or Julia's ControlSystems.jl . Experience with every package is not required
- • Ability to independently design and validate a controller from a plant model and quantitative performance requirements
- • Practical experience with challenging dynamics such as delays, interacting variables, actuator saturation, nonlinear behavior, flexible modes, or non-minimum-phase behavior
- • Ability to produce reproducible code and explain modeling assumptions, performance limitations, and technical feedback clearly in written English
