Careers
Nuvoton Israel is always searching for excellent talent to join our team in a variety of open positions.;
Our recruiting process is relatively short, discretion guaranteed. We respect our candidates’ time and try to be as efficient as possible.
The recruiting process includes a preliminary phone call to discuss expectations and check mutual interest and suitability. After we hold few professional /technological interviews, held by our top talents or managers.Lastly, we conduct an HR interview that is followed by a reference check. If all goes well, candidates receive an attractive job offer. The process is conducted with transparency and we try do our best to stay in touch and update all candidates throughout the process.
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Head of AI Embedded Software – NPU Platform
About The Position
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.
Requirements
- 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.