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Design and develop compiler software for neural network processors, enabling advanced AI workloads through optimized execution flows, memory management, and system performance.

Lead a global, multi-site organization responsible for an end-to-end NPU AI software stack spanning host SDKs, runtimes, APIs, drivers, embedded firmware, automation, and releases.

Develop and optimize simulator software for NPU and DSP processor platforms using C/C++ on Linux and Windows. Analyze performance and accuracy, debug complex code, and collaborate with architecture, algorithms, systems, VLSI, and QA teams.

Lead an embedded software engineering team developing an NPU AI software stack spanning host SDKs, runtimes, APIs, drivers, and embedded firmware for edge AI systems.

Join a wireless communications engineering team developing software and hardware blocks for advanced 5G modem and DSP systems. Build, integrate, debug, verify, and optimize embedded software that supports reliable customer products.

Entry-level infrastructure role for a recent graduate supporting VLSI CAD and emulation flows, automation, tool integration, and regression environments for edge AI development.

As a student software developer, you will maintain and debug Python-based architecture tools, develop test cases, and evaluate AI neural networks on cutting-edge DSP processors and AI accelerators. Gain practical experience with deep learning frameworks like PyTorch and TensorFlow, and contribute to architectural research. Part-time, flexible hours.

Join a semiconductor IP company's AI division to design and develop open-source based toolchains and graph compilers for custom DSP and NPU architectures. You will own complex components end-to-end, drive technical solutions, and mentor engineers while leveraging AI-agentic development practices.