Drive advancements in embedded AI as a Machine Learning Engineer. Leverage C++ expertise to design core components for optimized automotive solutions in infotainment and autonomous driving.
This role focuses on developing and implementing the ML runtime framework for embedded systems. You will collaborate across teams to co-design effective execution paths for AI workloads while improving runtime performance. Expect to support model deployments from prominent ML frameworks onto the inference stack, enabling innovative solutions for millions of users.
Key Responsibilities:
• Design core components for ML runtime framework • Collaborate with teams on efficient execution paths • Maintain and develop C++ code for kernels • Optimize performance profiling and debugging tools • Analyze and improve runtime behavior with profiling tools
Requirements: • 2+ years in embedded system performance optimization • Expert in C++ programming for system development • Familiarity with Linux/Android/QNX environments • Knowledge of AI concepts and model structures • Bachelor's degree in Computer Science or related field
Utilize your skills in C++ and optimization to develop groundbreaking embedded AI solutions in a thriving industry. #J-18808-Ljbffr