Head of AI Embedded Software – NPU Platform

Nuvoton Technology Israel is a leading semiconductor design center, developing SoCs, microcontrollers, and security hardware solutions for tier-1 customers in the computing and server space.

As a self-contained R&D center - spanning architecture, chip design, software, and system engineering - we work closely with major US-based OEMs to deliver innovative, semi-custom silicon solutions.

We are now extending our portfolio into AI acceleration, developing a next-generation NPU platform aimed at efficient, real-world AI deployment.

Shape the Future of AI at the Silicon Level:

We are looking for a visionary Senior Technical Manager to build and lead our AI software stack for our next-generation NPU platform.

This is a rare opportunity to own the full software layer - from compiler infrastructure to developer ecosystem - and make a lasting impact on how AI runs on silicon.

What You'll Do;

• Build and lead a highly skilled AI software & algorithms engineering team, establishing engineering standards, development processes, and technical direction
• Define the end-to-end stack — compiler, runtime, kernel libraries, and SDK — enabling efficient AI deployment on our NPU
• Drive AI compiler development using technologies like MLIR, TVM, LLVM or similar infrastructures to translate PyTorch/TensorFlow models into optimized NPU execution
• Champion model optimization — quantization, pruning, and hardware-aware techniques for maximum performance and power efficiency on the accelerator.
• Runtime, Drivers, and Firmware Integration — scheduling, memory management, and low-level software for AI workloads on-chip
• AI Kernel Libraries - Guide the development of highly optimized neural network kernel libraries and performance-critical primitives tailored to the architecture of the NPU.
• Developer Ecosystem - Define and deliver the SDK, APIs, and development tools that allow internal teams and external developers to deploy AI models easily on the platform.
• Cross-Functional Architecture Collaboration - Work closely with silicon architecture and hardware design teams to ensure optimal hardware-software co-design, providing feedback on architecture, performance bottlenecks, and future ISA requirements.

What We're Looking For

• MSc or PhD in Computer Science, Electrical Engineering, or equivalent
• 10+ years in software development for complex systems (semiconductor or AI infrastructure preferred)
• Proven track record leading engineering team delivering complex software platforms
• Deep understanding of how machine learning models are mapped to hardware accelerators (NPUs, GPUs, DSPs, or FPGAs)
• Deep understanding of how AI models (CNNs, Transformers, RNNs) are mapped onto hardware accelerators (NPUs, DSPs, or FPGAs)
• Hands-on experience with AI compiler stacks: MLIR, LLVM, TVM, XLA, or similar
• Solid background in systems software, including runtime environments, drivers, and performance-critical software
• Experience building up a group of top-tier talent in the competitive AI space
• Customer-facing experience with a partnership mindset

Nice to Have: Data center or cloud computing background, ML deployment frameworks, or SDK/developer tools experience.