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- Aufgaben: Lead the development of cutting-edge computer vision algorithms for surveillance systems.
- Arbeitgeber: Join Bosch, a global leader in innovative technologies that enhance lives and promote sustainability.
- Mitarbeitervorteile: Enjoy flexible working models, including remote work and part-time options.
- Warum dieser Job: Be part of a diverse, international team shaping the future of intelligent analytics.
- Gewünschte Qualifikationen: Degree in computer science or related field; experience in software architecture and machine learning required.
- Andere Informationen: Diversity and inclusion are core values; all applications welcome.
Das voraussichtliche Gehalt liegt zwischen 72000 - 100000 € pro Jahr.
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. Welcome to Bosch.
Job Description
Building solutions for a better life. The Bosch Building Technologies division is a leading international provider of systems, solutions and services that increase the safety of people, buildings and property and also contribute to greater comfort, energy efficiency and sustainability.
Bosch Building Technologies is divided into the international product business and the regional system integration business. Currently, the three product areas of video systems, access control & intrusion detection systems and communication systems as well as the associated cross-divisional functions within the division are to be set up as an independent unit and then further developed as a sustainable core business by a new owner.
Responsibilities
- International and interdisciplinary cooperation: As Computer Vision Software Tech Lead Intelligent Analytics, you will be part of the new company to be set up in the future and thus contribute to a globally networked team of around 4300 colleagues operating in over 50 countries.
- Focus on the end-to-end development and implementation of state-of-the-art computer vision algorithms on surveillance cameras.
- Follow the latest trends in computer vision, such as Generative AI, and research their applications.
- Analyze new product features in relation to existing software components, identifying opportunities for improvement.
- Lead the implementation of time-critical features in a holistic end-to-end environment.
- Work hands-on with key enablers, liaising with the teams responsible for the features to develop the architecture for the implementation of innovative solutions.
- Implement continuous delivery and integration and ensure efficient deployment and integration processes.
Qualifications
- Education: completed university studies in computer science, electrical engineering or a comparable qualification.
- Experience and Knowledge: several years of professional experience in software architecture for embedded and sensor-controlled systems; algorithmic expertise in signal processing for multiple modalities (e.g. computer vision) to realize end-to-end product development; programming skills in relevant languages and environments; proficiency in machine learning, with a strong understanding of its applications and methods.
- Personality and Working Practice: Team player, able to work effectively with diverse teams.
- Languages: business fluent in written and spoken German and English.
Additional Information
We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need support during your application?
Herdis Duderstadt (Human Resources)
+49(89)6290-2181
Need further information about the job?
Florian Richter (Functional Department)
+49(5121)49-5583
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Computer Vision Software Tech Lead Intelligent Analytics (f/m/div.) Arbeitgeber: Bosch Group
Kontaktperson:
Bosch Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Computer Vision Software Tech Lead Intelligent Analytics (f/m/div.)
✨Tip Number 1
Familiarize yourself with the latest trends in computer vision, especially Generative AI. This knowledge will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 2
Highlight your experience in leading interdisciplinary teams. Since this role involves international cooperation, showcasing your ability to work effectively with diverse teams can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented end-to-end computer vision algorithms. Being able to share concrete examples of your work will illustrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Brush up on your programming skills in relevant languages and environments. Being proficient in these areas is crucial for the role, and demonstrating your technical expertise can significantly boost your chances of landing the job.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Computer Vision Software Tech Lead Intelligent Analytics (f/m/div.)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Computer Vision Software Tech Lead position at Bosch. Understand the responsibilities and qualifications required, especially focusing on computer vision algorithms and software architecture.
Highlight Relevant Experience: In your application, emphasize your professional experience in software architecture for embedded systems and your expertise in algorithmic signal processing. Provide specific examples of projects where you have implemented computer vision solutions.
Showcase Team Collaboration Skills: Since the role requires working with diverse teams, include examples in your CV or cover letter that demonstrate your ability to collaborate effectively in an international environment.
Language Proficiency: Ensure that your application reflects your business fluency in both German and English. If applicable, mention any relevant experiences that showcase your language skills, such as working in bilingual teams or projects.
Wie du dich auf ein Vorstellungsgespräch bei Bosch Group vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with computer vision algorithms and embedded systems. Highlight specific projects where you implemented innovative solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Team Collaboration Skills
Since the role emphasizes international and interdisciplinary cooperation, share examples of how you've successfully worked in diverse teams. Discuss your approach to communication and collaboration, especially in a remote or cross-cultural context.
✨Stay Updated on Industry Trends
Research the latest trends in computer vision and machine learning, particularly in relation to Generative AI. Be prepared to discuss how these trends could impact Bosch's products and services, and suggest potential applications for their technology.
✨Prepare Questions About Company Culture
Bosch values diversity and inclusion, so come prepared with questions that reflect your interest in their corporate culture. Ask about their flexible working models and how they support team members from diverse backgrounds.
