Drive innovation as a Machine Learning Engineer with embedded expertise. Develop and implement cutting-edge AI solutions for automotive platforms to enhance user experience in infotainment and autonomous driving.
You will focus on designing and implementing ML runtime components for embedded systems. Collaborating closely with various teams, you’ll optimize execution paths for AI workloads, maintain C++ code for runtime kernels, and utilize performance profiling tools. Your contributions will be crucial in deploying models from leading ML frameworks onto advanced inference stacks.
Key Responsibilities:
• Design core components for ML runtime frameworks • Collaborate with teams to optimize AI workloads • Maintain and develop C++ code for system integration • Create tools for performance profiling and debugging • Analyze and enhance runtime behavior through profiling
Requirements: • 2+ years in embedded system performance optimization • Solid C++ programming skills for runtime development • Understanding of embedded system design principles • Experience with Linux/Android/QNX environments • Familiarity with deep learning and AI frameworks
Utilize your embedded and machine learning expertise to develop state-of-the-art AI models for millions of automotive users. #J-18808-Ljbffr
Apply on Kit Job: kitjob.ca/job/2g8u4h
📌 Embedded AI Solutions Engineer (Markham)
🏢 Qualcomm
📍 Markham
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