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Tier-1 employer and Bangalore metro increase competition, but niche NPU/embedded specialization reduces applicant density.
Requires niche SoC, NPU/driver and embedded systems expertise, limiting cross-industry transferability.
Explicit seniority band plus mandatory embedded/NPU, driver and toolchain expertise makes shortlisting highly selective.
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Architect, design, and develop system software frameworks and high-performance drivers for CPUs, NSP/NPU processors, and hardware accelerators on Qualcomm SoCs.
Optimize software and hardware architectures for performance, latency, power, robustness, and stability in Multimedia and Deep Learning use cases on-device.
Collaborate globally to integrate, test, and support embedded software solutions, including occasional offsite/onsite work with OEMs and ISVs.
Bachelor's degree in Engineering, Computer Science, Software Engineering, or related field with 3+ years software engineering experience or Master's with 2+ years or PhD with 1+ year.
4+ years experience developing scalable multi-threaded/process software in C/C++ on Android/Embedded Linux/QNX systems.
Strong programming skills in C/C++, Python, system programming including threading, synchronization, and parallel computing.
Experience with ARM and NSP/Hardware engines inter-processor communication via RPCs; familiarity with build systems (CMake, Make, ninja, Yocto) and source control tools (Git, GitHub, GitLab, Perforce).
Experienced embedded system software engineer specializing in system drivers and frameworks for heterogeneous computing SoC platforms targeting mobile, automotive, IoT, XR, or AI inferencing.
Proficient in system-level performance optimization for multimedia and deep learning workloads on specialized hardware accelerators.
Demonstrated ability to work in a global engineering environment partnering with hardware, platform software, multimedia, and developer tools teams alongside external OEMs and ISVs.