Senior NPU Architect

Senior NPU Architect About the Role We are seeking a Senior NPU Architect to define the architecture of next-generation AI accelerators , focused on delivering high performance and power efficiency for advanced machine learning workloads. You will drive architectural decisions across compute, memory hierarchy, interconnect, dataflow, and hardware/software co-design , enabling competitive performance for modern AI applications including CNNs, Transformers, multimodal models, and large-scale inference workloads . This is a highly impactful role with significant ownership over core architectural strategy and long-term product direction. Key Responsibilities Define overall NPU architecture and key design directions across: Compute engines Memory hierarchy Interconnects Execution model Analyze modern AI workloads and translate requirements into architectural trade-offs and design decisions Drive architecture modelling, bottleneck analysis, and design space exploration Partner closely with compiler, runtime, and algorithm teams on hardware/software co-design Guide architectural optimization across: Performance Power efficiency Silicon area Scalability Collaborate with RTL, verification, and software engineering teams to ensure successful implementation Evaluate emerging AI model trends and evolve architecture strategy accordingly Influence long-term technical roadmap and contribute to key product decisions Qualifications MS or PhD in Electrical Engineering, Computer Engineering, Computer Science , or related field 8+ years of experience in one or more of the following: NPU architecture GPU architecture CPU architecture ASIC design Computer architecture Strong understanding of: AI / ML workloads Memory systems Parallel processing Performance optimisation Proven experience in: Architecture definition Performance modelling Design trade-off analysis Hardware/software co-design Familiarity with low-precision compute formats such as: INT8 FP16 BF16 FP8 Strong technical leadership and cross-functional communication skills Preferred Qualifications Experience developing AI accelerators for: Edge AI High-performance compute Large-scale inference systems Familiarity with AI compiler and runtime stacks Experience with workload mapping and execution optimisation Track record of: Architectural innovation Successful silicon delivery Published technical contributions or patents Opportunity This is an opportunity to play a foundational role in shaping next-generation AI hardware, working at the intersection of computer architecture, machine learning systems, and hardware/software co-design . You’ll join a deeply technical environment where your architectural decisions will directly influence the performance and capabilities of future AI platforms. #J-18808-Ljbffr Darwin Recruitment