Embedded Machine Learning Engineer

Job Summary

To support the development of cutting-edge AI solutions for automotive applications, the full-time remote Embedded Machine Learning Engineer will design and implement core components of the ML runtime framework, collaborate with cross-functional teams, and optimize performance for embedded systems.

Key Responsibilities

• Design and implement core components of the ML runtime framework for inference on embedded systems
• Collaborate with compiler, hardware, and model teams to co-design efficient execution paths for AI workloads
• Develop and maintain C++ code for runtime kernels and system-level integration

Required Qualifications

• Bachelor's, Master's, or PhD in Computer Science, Engineering, Information Systems, or related field with relevant work experience
• Strong hands-on experience in performance optimization for embedded or low-power systems
• Excellent C++ programming skills, focusing on system-level and runtime development
• Solid understanding of embedded system design, including memory hierarchy and hardware-software interaction
• Experience with Linux/Android/QNX development environments and toolchains