Location: Ingolstadt, Germany
Type: Full-Time | Level: Mid-to-Senior
We're seeking a highly skilled ADAS Camera Engineer (m/f/d) to join our client's Automotive Engineering team in Ingolstadt. In this role, you'll work at the intersection of cutting-edge camera systems, image processing, and embedded software, supporting the development and optimization of next-generation ADAS and infotainment platforms.
You'll be part of a regional expert team collaborating with OEMs and Tier 1 suppliers - from concept to commercialization. Your primary focus will be to design, debug, and optimize camera pipelines, integrate imaging hardware with embedded platforms, and solve complex system-level issues to support production-grade vehicle launches.
Develop and debug camera software within the BSP and embedded software stack on automotive SoCs.
Integrate and optimize camera sensors, image signal processors (ISP), and related software pipelines.
Work with image processing algorithms, including classical techniques and ML-based solutions.
Analyze and resolve system-level issues across hardware and software interfaces.
Collaborate with internal and external teams to customize and enhance camera solutions.
Lead technical efforts within small cross-functional teams and provide mentorship.
Support testing, validation, and productization of ADAS camera features.
Proven experience in software development or applications engineering in embedded environments.
Hands-on expertise with QNX, Linux, or Android.
Solid programming skills in C/C and scripting languages (e.g., Python, Bash).
Strong understanding of a typical automotive camera pipeline and embedded integration.
Familiarity with image processing techniques - both traditional and ML-based.
Excellent debugging and triage skills, especially in complex embedded systems.
Methodical working style with an emphasis on high-quality deliverables under pressure.
Strong teamwork and communication skills.
Able to adapt quickly to evolving technologies and environments.
Experience with ADAS or Automotive Infotainment systems.
Knowledge of camera sensor tuning, ISP optimization, and performance debugging.
Experience with video encoding/decoding protocols (e.g., H.265).
Understanding of image optimization, compression algorithms, and visual data pipelines.
Familiarity with image signal processors and real-time camera feed processing.
Experience using test equipment like oscilloscopes, logic analyzers, and multimeters.
Exposure to camera integration in safety-critical systems and video data validation.
Bachelor's degree in Engineering, Computer Science, Electrical/Electronics, or related field. (Master's preferred)
Work on next-generation ADAS and camera technology powering modern vehicles.
Collaborate with leading automotive innovators and global tech teams.
Take ownership of challenging projects with room for technical leadership and mentorship.
Be part of a team that values creativity, initiative, and cross-functional excellence.
La Fosse, Ingolstadt, Bavaria
La Fosse, Ingolstadt,