we are 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.
This position is open to all candidates.