4 Litert Jobs

Key Responsibilities: Develop, implement, and maintain low-level software platform modules for in-vehicle embedded devices, specifically targeting NPU and other accelerator integration. Design and implement software for efficient deployment, loading, and execution of AI/ML models (including GenAI) on embedded hardware accelerators. Optimize models for real-time performance, memory footprint, and power consumption on constrained embedded systems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to team knowledge sharing. Debug and troubleshoot issues in existing applications. Stay updated with the latest industry trends and technologies related to AI/ML and C++ standards for embedded systems. Qualifications: Basic Requirements & Education: Bachelor's degree or similar in Computer Science, Software Engineering, or a related field. Minimum of 2+ years of professional experience in C/C++ programming, including embedded systems development. Proven experience with low-level programming and direct hardware interaction. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Excellent communication skills, both verbal and written. Preferred Skills: Understanding of AI/ML concepts and exposure to AI frameworks (e.g., LiteRT, ONNX Runtime, Executorch, or similar embedded inference engines). Experience with version control systems (e.g., Git). Experience in deep learning.

Key Responsibilities: Develop, implement, and maintain low-level software platform modules for in-vehicle embedded devices, specifically targeting NPU and other accelerator integration. Design and implement software for efficient deployment, loading, and execution of AI/ML models (including GenAI) on embedded hardware accelerators. Optimize models for real-time performance, memory footprint, and power consumption on constrained embedded systems. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Write clean, efficient, and well-documented code following best practices. Participate in code reviews and contribute to team knowledge sharing. Debug and troubleshoot issues in existing applications. Stay updated with the latest industry trends and technologies related to AI/ML and C++ standards for embedded systems. Qualifications: Basic Requirements & Education: Bachelor's degree or similar in Computer Science, Software Engineering, or a related field. Minimum of 2+ years of professional experience in C/C++ programming, including embedded systems development. Proven experience with low-level programming and direct hardware interaction. Strong problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Excellent communication skills, both verbal and written. Preferred Skills: Understanding of AI/ML concepts and exposure to AI frameworks (e.g., LiteRT, ONNX Runtime, Executorch, or similar embedded inference engines). Experience with version control systems (e.g., Git). Experience in deep learning.

Responsibilities Lead Android Development Projects: Design, architect, and implement high-quality Android applications and services as well as HALs specifically for automotive systems. Mentor and Guide Team Members: Provide technical leadership and mentorship to junior developers, fostering a collaborative and innovative development environment. Integrate Advanced AI Technologies: Lead the integration of AI-driven features and functionalities in automotive applications, utilizing your extensive experience in AI projects. Optimize and Improve Codebase: Conduct thorough code reviews, identify performance bottlenecks, and implement enhancements to ensure optimal application performance. Collaborate with Cross-functional Teams: Work closely with other senior developers, AI specialists, UX/UI designers, and product managers to deliver cutting-edge automotive solutions. Requirements Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field and a minimum of 5 years of work experience Experience Extensive experience in Android development. Proven track record of successful AI project implementations. Significant experience in automotive software development. Technical Skills Programming Languages: Mastery of Java and Kotlin for Android development. Android Frameworks: deep understanding of Android SDK, Android Studio and other relevant tools. Proficiency in Android Jetpack components such as LiveData, ViewModel, Room, and Navigation. AI and Machine Learning: Advanced knowledge of AI and machine learning frameworks such as TensorFlow / LiteRT, PyTorch, ONNX runtime, and SoC vendor SDKs for NPU (Neural Processing Unit) or similar. Experience with integrating AI models into Android applications. Automotive Protocols: Proficiency in automotive protocols and standards such as CAN, LIN, and AUTOSAR. Development Practices: Strong understanding of design patterns, OOP principles, and software architecture. Tools and Platforms: Familiarity with version control systems like Git. Experience with CI/CD tools such as Jenkins, CircleCI, or GitHub Actions. Knowledge of cloud services and APIs related to AI and automotive applications, as well as first experience with Jetpack Compose Soft Skills Proven ability to lead and manage development teams. Strong mentorship skills to guide junior developers. Problem-solving: Exceptional analytical skills to diagnose and solve complex issues

Responsibilities Lead Android Development Projects: Design, architect, and implement high-quality Android applications and services as well as HALs specifically for automotive systems. Mentor and Guide Team Members: Provide technical leadership and mentorship to junior developers, fostering a collaborative and innovative development environment. Integrate Advanced AI Technologies: Lead the integration of AI-driven features and functionalities in automotive applications, utilizing your extensive experience in AI projects. Optimize and Improve Codebase: Conduct thorough code reviews, identify performance bottlenecks, and implement enhancements to ensure optimal application performance. Collaborate with Cross-functional Teams: Work closely with other senior developers, AI specialists, UX/UI designers, and product managers to deliver cutting-edge automotive solutions. Requirements Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field and a minimum of 5 years of work experience Experience Extensive experience in Android development. Proven track record of successful AI project implementations. Significant experience in automotive software development. Technical Skills Programming Languages: Mastery of Java and Kotlin for Android development. Android Frameworks: deep understanding of Android SDK, Android Studio and other relevant tools. Proficiency in Android Jetpack components such as LiveData, ViewModel, Room, and Navigation. AI and Machine Learning: Advanced knowledge of AI and machine learning frameworks such as TensorFlow / LiteRT, PyTorch, ONNX runtime, and SoC vendor SDKs for NPU (Neural Processing Unit) or similar. Experience with integrating AI models into Android applications. Automotive Protocols: Proficiency in automotive protocols and standards such as CAN, LIN, and AUTOSAR. Development Practices: Strong understanding of design patterns, OOP principles, and software architecture. Tools and Platforms: Familiarity with version control systems like Git. Experience with CI/CD tools such as Jenkins, CircleCI, or GitHub Actions. Knowledge of cloud services and APIs related to AI and automotive applications, as well as first experience with Jetpack Compose Soft Skills Proven ability to lead and manage development teams. Strong mentorship skills to guide junior developers. Problem-solving: Exceptional analytical skills to diagnose and solve complex issues