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Tier-1 employer and Hyderabad metro increase applicant density, but niche embedded GenAI skills reduce pool.
High because role demands specialized embedded C++ inference and hardware accelerator optimization expertise, limiting transferability.
High due to explicit 15-year requirement and mandatory expert C++ embedded edge AI experience.
Lead development and commercialization of Qualcomm AI Runtime for ML edge AI inference SDK on embedded systems.
Optimize and deploy large C++ software stacks for Generative AI models (LLM, LVM) on Qualcomm Snapdragon platforms focusing on edge deployment performance.
Collaborate with cross-functional teams to design and validate system-level software leveraging heterogeneous computing hardware accelerators for GenAI inference.
Bachelor's degree in Engineering, Computer Science, or related field with 6+ years software engineering experience OR Master's with 5+ years OR PhD with 4+ years.
Strong hands-on C++ programming experience is mandatory; Python alone insufficient; C alone not sufficient.
Experience with AI hardware accelerator optimization (CPU/GPU/NPU) and understanding of GenAI models and quantization concepts.
Job location: Hyderabad only; 5 days onsite. Candidates must be willing to relocate.
Senior software engineer with 15+ years experience in C++ software development for embedded AI inference SDKs.
Deep domain expertise in Generative AI models including LLMs, Transformers, and edge software deployment.
Experience working with heterogeneous computing platforms and performance optimization for AI hardware accelerators at chip-level.