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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and commercialization of Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs.
Optimize and deploy large generative AI models (LLMs, LVMs) leveraging Qualcomm's heterogeneous computing hardware for energy-efficient on-device inference.
Manage large C/C++ software stacks focusing on performance enhancement for edge-based GenAI deployments.
Minimum Requirements
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
Minimum 3 years of relevant experience in software development, especially with C/C++.
Strong understanding of generative AI models, floating-point and quantization techniques, and optimization for AI hardware accelerators (CPU/GPU/NPU).
Work Experience Required: 3+ years in software development with AI/ML focus.
Ideal Candidate Profile
Experienced in developing high-performance AI runtime environments on embedded systems or SoCs.
Demonstrates expertise in AI inferencing and understanding of LLMs/Transformers in edge computing contexts.
Skilled in large-scale C/C++ software development with strong analytical and debugging abilities, comfortable working in global, diverse teams.