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- Aufgaben: Lead the design and development of software for ADAS technology.
- Arbeitgeber: Join Da Vinci Engineering, a dynamic company focused on employee success.
- Mitarbeitervorteile: Enjoy continuous salary development, corporate perks, and on-the-job training.
- Warum dieser Job: Be part of exciting international projects in a collaborative environment.
- Gewünschte Qualifikationen: Master’s degree required; Ph.D. preferred with 7-10 years in automotive ADAS.
- Andere Informationen: Fluent English is a must; strong leadership skills are essential.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Nothing provides more motivation than success. Da Vinci Engineering is highly committed to ensuring the own employees‘ success. Become a part of us!
Planning Lead – Algorithm Engineer (m/f/d)
ID: 21107
Einsatzort: Frankfurt am Main
We are searching intelligent and innovative employees. If you are interested in working for a dynamic company with a flat hierarchy, we look forward to receiving your application.
Your tasks:
- Lead the design, development, and deployment of software supporting the company’s ADAS technology, focusing on behavior planning and motion planning modules.
- Manage the daily tasks of the development team in utilizing modern 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, especially the integration and vehicle control teams, to integrate motion planning algorithms into ADAS systems.
- Provide technical leadership and guidance to junior engineers, fostering a collaborative and innovative team environment.
Your profile:
- 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, as a technical or team leader.
- 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.
- Understanding of AUTOSAR and Automotive SPICE (ASPICE) standards.
- Strong managerial and leadership skills with the ability to mentor and guide junior engineers.
- Fluent in English.
You can expect:
- Experience in exciting and international projects.
- Continuous salary development.
- Da Vinci Corporate Benefits.
- On-the-job training and language courses.
- Appreciation, motivation, and commitment.
Frau Atefe Sadjadi
Da Vinci Engineering GmbH
Hauptstätter Straße 149
70178 Stuttgart
+49 711 72240 154
+49 711 72240 198
#J-18808-Ljbffr
Planning Lead - Algorithm Engineer (m/f/d) Arbeitgeber: adh Personal Thüringen
Kontaktperson:
adh Personal Thüringen HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Planning Lead - Algorithm Engineer (m/f/d)
✨Tip Number 1
Make sure to showcase your experience in leading teams and projects, especially in the context of ADAS or autonomous driving. Highlight specific examples where you successfully managed a development team or led a project from concept to implementation.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in motion planning algorithms. Being able to discuss recent advancements or challenges in the field during your interview will demonstrate your passion and expertise.
✨Tip Number 3
Prepare to discuss your experience with agile methodologies and the V-Model. Be ready to provide examples of how you've applied these frameworks in past projects, as this is crucial for the role.
✨Tip Number 4
Since collaboration is key in this position, think of instances where you've worked cross-functionally with other teams. Be prepared to share how you facilitated communication and integration between different departments.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Planning Lead - Algorithm Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Planning Lead - Algorithm Engineer position. Understand the key responsibilities and required qualifications, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 7 to 10 years of experience in the automotive industry, particularly in ADAS or autonomous driving. Provide specific examples of projects where you led teams or developed motion planning algorithms.
Showcase Technical Skills: Clearly list your proficiency in programming languages such as C, C++, Python, and MATLAB. Mention any experience with agile methodologies, V-Model, AUTOSAR, and ASPICE standards, as these are crucial for the role.
Craft a Compelling Cover Letter: Write a personalized cover letter that reflects your passion for the automotive industry and your motivation to contribute to Da Vinci Engineering. Discuss how your background aligns with their commitment to employee success and innovation.
Wie du dich auf ein Vorstellungsgespräch bei adh Personal Thüringen vorbereitest
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Planning Lead - Algorithm Engineer role. Familiarize yourself with the specific tasks mentioned in the job description, such as leading the design and development of software for ADAS technology. This will help you articulate how your experience aligns with their needs.
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with motion planning algorithms and your proficiency in programming languages like C, C++, Python, and MATLAB. Highlight any relevant projects where you've successfully implemented complex software features, as this will demonstrate your capability to deliver results.
✨Demonstrate Leadership Skills
Since the role involves providing technical leadership and mentoring junior engineers, be ready to share examples of how you've led teams or projects in the past. Discuss your approach to fostering a collaborative environment and how you've guided others in their professional development.
✨Prepare for Behavioral Questions
Expect questions that assess your problem-solving abilities and how you handle challenges in a team setting. Use the STAR method (Situation, Task, Action, Result) to structure your responses, ensuring you convey your thought process and the impact of your actions.
