Control Engineering Intern
Krakowonsitejunior
Posted today · via Workday
About this role
Join our team and help shape the future of automotive control systems. In this role, you will develop advanced control algorithms, with a strong focus on Model Predictive Control (MPC) and optimization-based control, contributing to intelligent solutions for vehicle dynamics, motion control, and autonomous driving. Working closely with multidisciplinary engineering teams, you will bridge control theory, simulation, and real-world automotive applications to deliver robust, safe, and high-performance solutions. Your Role Design, develop, and optimize MPC controllers and other advanced control algorithms for automotive systems. Formulate and solve constrained optimization problems for vehicle motion planning and control.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, teams
2
Level fit
This role is junior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Krakow. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonteams
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