Job
- Level
- Experienced
- Job Field
- Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Karlsruhe
- Working Model
- Onsite
Job Summary
In this role, you will develop embedded software for autonomous vehicles, optimize sensor integrations like cameras and radar, and work on high-performance computer vision solutions on specialized chips.
Job Technologies
Your role in the team
- We are looking for an experienced engineer to strengthen our team in developing and deploying embedded software for autonomous vehicles and robotic platforms.
- Develop and maintain low-level software for embedded systems (C/C++, Linux).
- Develop high-performance computer vision and deep learning primitives on specialized accelerator chips.
- Deploy and optimize our software stack on embedded hardware platforms.
- Build and integrate camera, radar, LiDAR, and other sensor systems.
- Develop systems for time-synchronized multi-sensor data recording (PTP, triggering, timecode).
- Support selection, integration, and bring-up of embedded systems.
- Collaborate closely with perception teams to ensure robust and high-performance operation.
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Our expectations of you
Qualifications
- Solid understanding of Linux and OS-level programming.
- Scripting skills (Python, Shell).
- Basic knowledge of electronics.
- Knowledge of accelerator platforms (e.g., GPU, DSP, NPU) is a plus.
- Familiarity with automotive communication (CAN, Automotive Ethernet) is a plus.
- Knowledge of functional safety (ISO 26262) is a plus.
Experience
- Strong experience in low-level and embedded software development (C/C++).
- Experience with embedded systems.
- Experience with ISP, camera drivers, or sensor interfaces is a plus.
- Experience with time synchronization (PTP, PPS, gPTP) is a plus.
- Experience with multi-sensor systems and calibration is a plus.
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Topics that you deal with on the job
Job Locations
This is your employer
SafeAD GmbH
SafeAD GmbH, based in Karlsruhe, Germany, is an advanced company specializing in the development of end-to-end perception systems for autonomous vehicles. Its team comprises experienced engineers and researchers focused on the safety and reliability of driver assistance systems. The company utilizes AI-based computer vision and machine learning to enable vehicles to navigate without high-resolution maps.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Vehicle Manufacturing, Supplier