Aktiviere Job-Benachrichtigungen per E-Mail!

Senior Embedded Systems Engineer (m/f/d) – Computer Vision

TN Germany

Hamburg

Hybrid

EUR 60.000 - 100.000

Vollzeit

Vor 16 Tagen

Erhöhe deine Chancen auf ein Interview

Erstelle einen auf die Position zugeschnittenen Lebenslauf, um deine Erfolgsquote zu erhöhen.

Zusammenfassung

An innovative company is seeking a Senior Embedded Systems Engineer to join their Cabin Safety team in Hamburg or Berlin. This role involves developing cutting-edge camera-based surveillance solutions to enhance passenger safety in autonomous vehicles. You will work in a dynamic, agile environment, collaborating with a talented team to tackle complex challenges. The position offers flexibility with a hybrid work model and an array of benefits, including competitive salary, professional development opportunities, and a supportive workplace culture that values diversity and inclusivity. If you are passionate about technology and want to make a difference, this is the perfect opportunity for you.

Leistungen

Competitive salary
Hybrid work
Home office setup allowance
Remote work from outside Germany
Subsidized public transport
Fitness/bike leasing
Learning environment
Mental health support
30 vacation days
Dog-friendly offices

Qualifikationen

  • Strong focus on video processing algorithms and machine/deep learning.
  • Experience in high-reliability industries with standards like ASPICE, ISO26262.
  • Hands-on with C++ 11/14 or later; Python beneficial.

Aufgaben

  • Develop camera-based cabin surveillance solutions.
  • Design and optimize solutions to meet business goals.
  • Participate in the full development cycle: design, implementation, QA.

Kenntnisse

Video Processing Algorithms
Machine Learning
Deep Learning
C++ 11/14
Python
Software Architecture
Testing
SIL/HiL Testing

Ausbildung

Degree in Computer Science or Engineering
Experience in High-Reliability Industries

Tools

GStreamer
Linux
CI/CD Pipelines
ROS/ROS2
AUTOSAR

Jobbeschreibung

Social network you want to login/join with:

Senior Embedded Systems Engineer (m/f/d) – Computer Vision, Hamburg

Client: MOIA Operations Germany GmbH

Location: Hamburg, Germany

Job Category: Other

EU work permit required: Yes

Job Reference: df0191f4cb30
Job Views: 2
Posted: 30.04.2025
Expiry Date: 14.06.2025
Job Description:

Join us as a Senior Embedded Systems Engineer (m/f/d) in our Cabin Safety team on a shared journey that matters!

To make the vision of an autonomously driving mobility service a reality, we are building the business domain of Vehicle Integration with new product development teams. These teams develop applications and tools needed to enable autonomous passenger management within MOIA vehicles. Key questions include passenger authentication without a driver, ensuring cabin safety during boarding and rides, and content display on vehicle screens for a safe user experience.

The Cabin Safety team owns the vertical integration of features that make journeys safe, focusing on key moments like boarding and continuous operation monitoring using multi-sensor layers in challenging environments.

The team includes roles from backend and embedded developers to quality specialists, safety experts, and product owners. Join us if you want to solve challenges in an agile, customer-driven environment.

Join us in Hamburg or Berlin onsite!

If you live in Germany but prefer not to relocate, that's okay. We offer a hybrid work mode with home office flexibility. Visiting the Hamburg office once a month is optional but appreciated.

What you will do
  • Develop camera-based cabin surveillance solutions
  • Design and optimize these solutions to meet business goals
  • Plan and execute tests for functionality and performance
  • Build systems respecting safety, security, and quality standards
  • Coordinate with suppliers and partners on camera solutions
  • Provide expert guidance, mentorship, and support to the team
  • Participate in the full development cycle: design, implementation, QA, maintenance
  • Work in an autonomous, cross-functional team of talented engineers
What will help you fulfill your role
  • Strong focus on video processing algorithms and machine/deep learning
  • Solid knowledge of software architecture, implementation, and testing
  • Experience in high-reliability industries (automotive, medical, aerospace) with standards like ASPICE, ISO26262, homologation
  • Experience designing solutions based on business use cases
  • Experience evaluating machine/deep learning performance
  • Hands-on with C++ 11/14 or later; Python beneficial
  • Experience with video streaming frameworks like gstreamer
  • Familiarity with Linux on multicore ARM-based SoCs
  • Knowledge of protocols like RTSP, MQTT, SOME/IP
  • Experience with SIL/HiL testing in CI/CD pipelines
  • Nice-to-have: ROS/ROS2, AUTOSAR experience

We encourage applications even if you don't meet all requirements, as we value diverse experiences and skills. Feel free to reach out to the recruiter or hiring manager with questions.

Our benefits in a nutshell
  • Competitive salary (including bonus)
  • Hybrid work, flexible hours, and arrangements
  • Home office setup allowance
  • Remote work from outside Germany up to 4 weeks/year
  • Subsidized public transport and MOIA discounts
  • Fitness/subsidized bike leasing
  • Learning environment: training, coaching, conferences, books, language classes
  • Mental health support and workshops
  • 30 vacation days, sabbatical, unpaid leave options
  • Relocation support
  • Dog-friendly offices in Hamburg

Additional benefits for students & interns are available.

Be who you are!

We promote diversity and inclusivity, respecting all identities and backgrounds. We conduct unconscious bias training and ensure a diverse hiring panel. Please omit personal details irrelevant to your qualifications in your application.

We favor a flexible hybrid work model that balances office presence and remote work, based on team and individual needs.

Hol dir deinen kostenlosen, vertraulichen Lebenslauf-Check.
eine PDF-, DOC-, DOCX-, ODT- oder PAGES-Datei bis zu 5 MB per Drag & Drop ablegen.