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Tier-1 brand plus metro location increase competition, but specialized embedded ML/C++ reduces applicant density.
Role requires niche embedded ML/inference and hardware-accelerator experience, so cross-industry transferability is low.
Explicit 9–15 years plus mandatory embedded C++, accelerator optimization, and kernel/SIMD expertise make shortlisting highly strict.
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Lead development and commercialization of Qualcomm AI Runtime for embedded AI inferencing on Qualcomm chipsets.
Optimize performance of large AI models (Generative AI, LLMs) for on-device inference using C/C++ software stacks.
Collaborate with cross-functional teams to deploy edge-based GenAI solutions leveraging heterogeneous computing capabilities of Snapdragon platforms.
Bachelor's or Master's or PhD degree in Engineering, Computer Science, or related field with respective work experience (4+ years for Bachelor, 3+ for Master, 2+ for PhD).
Strong programming experience (2+ years) in C, C++, Java, Python; with emphasis on C/C++ for embedded systems AI/ML inference SDK development (not ML training or data science).
Mandatory strong embedded software development experience; job location is Hyderabad.
Relevant software development experience requested in two places: 9-15 years experience mentioned for multiple seniority levels, but also minimum qualifications specify lower experience thresholds. Work Experience Required: 9-15 years preferred, with multiple levels open.
Deep expertise in C++ programming, design patterns, OS concepts, and optimizing algorithms for AI hardware accelerators (CPU/GPU/NPU).
Strong understanding of Generative AI models architecture (LLM, transformers, self-attention, quantization) and embedded AI deployment challenges.
Experience with heterogeneous computing architectures, embedded kernel or SIMD processor development, and familiarity with frameworks like llama.cpp, MLX, MLC, PyTorch, TFLite, ONNX Runtime, OpenCL, CUDA is a plus.