Back
Tier-1 employer and metro location increase competition, but role's niche embedded AI skills limit applicant pool.
Requires specialized embedded AI and DSP optimization experience, limiting transferability across industries.
Multiple explicit years and specialized embedded AI/DSP skill requirements make shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and optimize AI software components for Qualcomm NPU and Hexagon DSP processors focusing on neural network kernels/operators to improve latency, power, memory, and throughput.
Profile runtime bottlenecks and apply hardware-aware software optimizations for embedded AI systems.
Collaborate closely with architecture and hardware teams to enhance next-generation NPU and DSP capabilities and support platform bring-up and customer issue resolution.
2 to 10 years of embedded software development experience, preferably in AI, DSP, NPU, or performance-critical systems.
Bachelor's degree in Computer Science, Electrical/Electronic Engineering, or related field with at least 2 years relevant experience; or Master's degree with at least 1 year relevant experience; alternatively, PhD with 1+ year relevant experience is acceptable.
Strong C/C++ programming skills and in-depth understanding of processor architecture, operating systems, and multi-processor concepts.
Experience with kernel optimization, fixed-point computation, quantization, SIMD/vector processing, profiling, benchmarking, debugging, and software-hardware co-optimization for AI accelerators.
Experienced in performance-critical embedded systems focusing on AI software for specialized processors (NPU, DSP).
Strong technical depth in low-level optimization, neural network operators, and runtime system performance tuning.
Able to work cross-functionally with architecture and hardware design teams to influence future AI platform capabilities.