Camera Software Engineer (AI Camera / Automotive / Android)

Category

Software

Location

HsinChu

Experience

No Work Expe.

Education

Master's Degree

Job Description

[Job Description] - Develop camera open platforms and embeddedsoftware for Android, AI applications, andautomotive systems. - Collaborate cross-functionally to integrate AIcamera features and ensure functional safetycompliance. - Optimize camera power, performance, andfootprint across various SoC hardware platforms. - Troubleshoot complex camera and memorysoftware issues to ensure optimal product quality. - Leverage AI tools to streamline development, boostperformance metrics, and elevate productcompetitiveness. [Join MediaTek Multimedia Group (MM)] Join MediaTek as a Camera Software Engineer toblend innovation with real-world applications. Youwill join our core team to redefine visual experiences across devices, enabling users to capture life withunmatched clarity. By integrating cutting-edge AIwith powerful camera systems, your expertise willdrive camera technology evolution and significantlyimpact global visual interactions.

Main Requirements and Qualifications

  1. [Minimum Qualifications]
  2. - Master's degree in Computer Science, ElectricalEngineering, Machine Engineering, or equivalentpractical experience (graduated freshmen areapplicable).
  3. - Experience with one or more programminglanguages such as C++ (mandatory), C, or Java.
  4. - Experience with using/designing data structuresand algorithms in software programming.
  5. - Experience with Linux kernel/user spaceprogramming and Embedded Systems.
  6. [Preferred Qualifications]
  7. - 2+ years of experience with camera systems orembedded system software development.
  8. - Experience with AI Camera technologies (CPU /GPU / NPU co-processors integration experience ispreferred).
  9. - Experience with Automotive function safety (ISO-26262, ISO-21434, MISRA C/CPP, AUTOSAR)compliant software development.
  10. - Experience with Android Camera HAL, and Linuxuser space camera middleware or applications.
  11. - Experience with Power/Performance/FootprintAnalysis & Optimization, as well as EmbeddedProcessors Power/Performance Optimization (e.g.,cache-friendly programming knowledge and skills).
  12. - Knowledge of ISP (Image Signal Processing) andimage sensor technologies.
  13. - Familiarity with leveraging AI tools and codingassistants to streamline development routines,optimize performance metrics, and drive overallproduct competitiveness.