SoC Architect

Location Hybrid (Santa Clara, CA) Role AI SoC Architect – Lead the definition and design of system‑on‑chip technologies for d‑Matrix's AI compute engine, driving performance, power, thermal, memory, interconnect, and packaging decisions in collaboration with RTL & DV engineers and cross‑team partners. Responsibilities Lead the design and delivery of SoC requirements and architecture that delivers exceptional customer experiences. Analyze AI workloads such as transformers and CNNs across existing and new product categories to identify bottlenecks and improvement opportunities. Drive architecture to deliver the product, designing, implementing and evaluating efficient deep neural network architectures and algorithms. Conduct research to guide hardware/software co‑design of SIMD engine, control plane, data reshape engine, data converter blocks, NoC substrate, and other blocks. Work on various phases of our flagship product (Corsair I and II) and the next‑generation product, covering performance projection, modeling, correlation, and debug aspects. Engage in kernel development and support networking fabric enhancements. Develop and maintain tools for high‑level simulation and research to enable architectural exploration of current and future products. Collaborate with software teams to meet stack development milestones. Port customer workloads, optimize them for deployment, generate reference implementations, and evaluate performance. Report and present progress in a timely and effective manner. Contribute to publications of papers and intellectual properties. Minimum Qualifications MS in Computer Science, Electrical & Computer Engineering, or a related discipline with 5+ years of relevant experience in compute architecture and system design. Problem‑solving, self‑starter, able to effectively multi‑task and simplify complex problems to produce elegant and efficient solutions. 5+ years of demonstrated experience leading SoC architecture or design development. Expert knowledge of AI SoC architecture, requirements, and definition. Ability to identify potential architectural issues and design flaws early and provide effective solutions. Experience with CPU, GPU, ASIC, and ML accelerator architecture exploration and modeling. High proficiency in performance modeling, ranging from analytical to cycle‑accurate models and correlation. Deep, wide, and current knowledge of machine learning and modern deep learning. Hands‑on experience with CNN, RNN, and Transformer neural network architectures. Preferred Qualifications Experience with specialized hardware accelerator systems for deep neural networks. PhD in a related discipline with 5+ years of relevant experience in compute architecture and system design. High proficiency in algorithm analysis, data structures, and Python programming; proficiency with C/C++ preferred. Passionate about AI and able to thrive in a fast‑paced and dynamic startup culture. Equal Opportunity Employment Policy d‑Matrix is an equal‑opportunity workplace and affirmative action employer. We are committed to fostering an inclusive environment where everyone feels welcomed and empowered to do their best work. We hire the best talent for our teams, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. #J-18808-Ljbffr d-Matrix inc.