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Tier-1 brand and metro location increase applicants but embedded ML specialization narrows the pool.
Highly specialized embedded ML and SoC accelerator expertise reduces cross-industry transferability.
Explicit 6+ years requirement plus mandatory embedded C++ and accelerator expertise creates strict filters.
Lead development and commercialization of ML solutions like Snapdragon Neural Processing Engine SDK on Qualcomm SoCs.
Port AI/ML solutions to various platforms and optimize performance across CPU, GPU, and NPU hardware accelerators.
Maintain and enhance large C/C++ software dependency stacks focusing on performance and deployment on Qualcomm Snapdragon platforms.
6+ years relevant software development experience (specific JD also mentions 1-2 years as minimum but 6+ years stated in main responsibilities).
Strong development skills in C and C++ with embedded systems development experience.
Bachelor's or Master's degree in Computer Science, Engineering, or related field (PhD also acceptable).
Experience with processor architecture, system design fundamentals, and software deployment on hardware accelerators.
Experienced in embedded system development and optimization for heterogeneous computing platforms (CPU/GPU/NPU).
Skilled in managing complex C/C++ software stacks and applying best practices for large dependency deployment.
Strong analytical, debugging, and communication skills suitable for collaboration within a global and diverse engineering team.