Key Responsibilities
- Design implement and maintainC software components for embedded/automotive systems.
- Integrate and optimizecomputer vision and machine learning components in production software.
- Develop efficient processing pipelines for sensor and image data.
- Ensure software quality through clean architecture testing and documentation.
- Analyze performance and optimize code for runtime memory usage and robustness.
- Collaborate with ML engineers and system architects on interface definitions and deployment concepts.
- Support debugging issue analysis and continuous improvement of deployed software.
Key Skills
- Strong proficiency inmodern C (C14/17 or newer).
- Solid software engineering fundamentals (clean code modular design debugging).
- Experience withembedded or Linux-based systems.
- Basic understanding ofcomputer vision concepts and ML model integration.
- Familiarity with build systems and tooling (e.g. CMake Git CI environments).
- Analytical mindset and structured problem-solving approach.
- Good communication skills inEnglish.
Nice to Have
- Experience withcomputer vision libraries (e.g. OpenCV).
- Exposure to ML inference runtimes or model optimization concepts.
- Understanding of real-time or performance-critical systems.
- Experience in automotive or other safety-/quality-critical domains.
Required Experience:
Manager
Key ResponsibilitiesDesign implement and maintainC software components for embedded/automotive systems.Integrate and optimizecomputer vision and machine learning components in production software.Develop efficient processing pipelines for sensor and image data.Ensure software quality through clean a...
Key Responsibilities
- Design implement and maintainC software components for embedded/automotive systems.
- Integrate and optimizecomputer vision and machine learning components in production software.
- Develop efficient processing pipelines for sensor and image data.
- Ensure software quality through clean architecture testing and documentation.
- Analyze performance and optimize code for runtime memory usage and robustness.
- Collaborate with ML engineers and system architects on interface definitions and deployment concepts.
- Support debugging issue analysis and continuous improvement of deployed software.
Key Skills
- Strong proficiency inmodern C (C14/17 or newer).
- Solid software engineering fundamentals (clean code modular design debugging).
- Experience withembedded or Linux-based systems.
- Basic understanding ofcomputer vision concepts and ML model integration.
- Familiarity with build systems and tooling (e.g. CMake Git CI environments).
- Analytical mindset and structured problem-solving approach.
- Good communication skills inEnglish.
Nice to Have
- Experience withcomputer vision libraries (e.g. OpenCV).
- Exposure to ML inference runtimes or model optimization concepts.
- Understanding of real-time or performance-critical systems.
- Experience in automotive or other safety-/quality-critical domains.
Required Experience:
Manager
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