VINFAST

Expert Algorithm Engineer (Motion Planning)

VINFAST Frankfurt

Stellenbeschreibung:

Expert Algorithm Engineer (Motion Planning)

VinFast is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated to delivering high-quality, cutting-edge electric vehicles that redefine the driving experience. Our team consists of passionate professionals driven by a shared vision of creating a greener and more sustainable future through innovation, technology, and excellence. We are committed to innovation and excellence, developing cutting‑edge technologies for autonomous driving and advanced driver assistance systems (ADAS).

Job Overview

Join our dynamic and innovative ADAS team as an Expert Algorithm Engineer specializing in Motion Planning. You will drive innovation by developing and optimizing motion planning algorithms for various ADAS applications, including automatic parking, adaptive cruise control (ACC), and autonomous driving.

Key Responsibilities

  • Design, develop, and deploy software supporting VinFast’s ADAS technology, with a focus on behavior planning and motion planning modules.
  • Utilize modern planning algorithms to generate optimized, safe, and dynamically feasible trajectories.
  • Apply advanced vehicle dynamics knowledge to enhance motion planning algorithms.
  • Translate automotive industry requirements into practical algorithmic solutions.
  • Follow agile development methodologies and the V‑Model for developing motion planning modules.
  • Collaborate with cross‑functional teams to integrate motion planning algorithms into ADAS systems.
  • Provide technical leadership and guidance to junior engineers, fostering a collaborative and innovative team environment.

Requirements

  • Master’s degree in Mechanical Engineering, Computer Science, Electrical Engineering, Robotics, or a related field. A Ph.D. is preferred.
  • 7 to 10 years of proven experience in the automotive industry, specifically in ADAS or autonomous driving.
  • Strong understanding of commonly implemented motion planning algorithms in the automotive industry.
  • Ability to deliver complex software features from design to implementation and testing on automotive‑grade hardware.
  • Strong understanding of vehicle dynamics and control systems.
  • Proficient in C, C++, Python, and MATLAB.
  • Experience with agile development methodologies and the V‑Model.
  • Excellent problem‑solving skills and attention to detail.
  • Strong leadership skills with the ability to mentor and guide junior engineers.
  • Understanding of AUTOSAR and AUTOSAR Adaptive.
  • Familiarity with Automotive SPICE (ASPICE) standards.

Preferred Qualifications

  • Experience developing and deploying motion planning algorithms in real‑world automotive applications.
  • Familiarity with complex vehicle models.
  • Understanding of automotive standards and safety protocols, such as ISO 26262.

Benefits

  • Competitive salary
  • Opportunity to collaborate with and learn from industry‑leading professionals in the automotive domain.

Legal and Recruitment Information

With respect to all your personal data shared to VinFast in the application and the entire recruitment process of VinFast, by clicking “Apply”, submitting your resumé/CV and/or participating in VinFast's recruitment process, you agree that you have read VinFast's Personal Data Protection Policy ("Policy") posted at or you agree to the Policy and consent for VinFast to process your personal data in accordance with the Policy and the applicable regulations on personal data protection.

To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    26 Nov 2025
  • Standort:

    Frankfurt

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