d-Matrix has fundamentally changed the physics of memory-compute integration with our digital in-memory compute (DIMC) engine. The “holy grail” of AI compute has been to break through the memory wall to minimize data movements. We’ve achieved this with a first-of-its-kind DIMC engine. Having secured over $154M, $110M in our Series B offering, d-Matrix is poised to advance Large Language Models to scale Generative inference acceleration with our chiplets and In-Memory compute approach. We are on track to deliver our first commercial product in 2024. We are poised to meet the energy and performance demands of these Large Language Models.The company has 100+ employees across Silicon Valley, Sydney and Bengaluru.

Our pedigree comes from companies like Microsoft, Broadcom, Inphi, Intel, Texas Instruments, Lucent, MIPS and Wave Computing. Our past successes include building chips for all the cloud hyperscalers globally - Amazon, Facebook, Google, Microsoft, Alibaba, Tencent along with enterprise and mobile operators like China Mobile, Cisco, Nokia, Ciena, Reliance Jio, Verizon, AT&AT. We are recognized leaders in the mixed signal, DSP connectivity space, now applying our skills to next generation AI.  

Location:

Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.

The role: SOC Architect, Principal

The AI SOC Architecture Team is responsible driving Silicon roadmap and directions, architectural explorations, hardware-software co-design, performance projections and modeling, cross-team collaborations and academic outreach. You will be joining a team of exceptional people enthusiastic about researching and developing state-of-the-art efficient deep learning techniques tailored for d-Matrix’s AI compute engine. We are seeking SoC Architect to lead our SoC Technologies Definition. This exciting opportunity requires strong technical knowledge and exceptional leadership. You will drive the Architecture in conjunction with RTL & DV engineers of multiple technologies including but not limited to performance and power efficiency, thermal management, memory, interconnects & packaging to deliver exceptional product experiences across our entire portfolio.

What you will bring:

• Lead the design and delivery of SoC requirements and architecture that delivers exceptional customer experiences.

• Analysis of AI workloads such as transformers & CNNs across existing and new emerging product categories to identify bottlenecks and opportunities for improvement.

• Identify areas of improvement and drive the architecture to deliver the product. Design, implement and evaluate efficient deep neural network architectures and algorithms for d-Matrix’s AI compute engine.

• Conduct research to guide hardware/software co-design of SIMD engine, control plane, data reshape engine, data convertor blocks, NoC substrate and many other blocks.

• Work on various phases of our flagship product (Corsair I and II) ranging from performance projection, performance modeling, performance correlation and performance debug aspects.

• Develop and maintain tools for high-level simulation and research to enable architectural exploration of current and future generation products.

• Engage and collaborate with SW team to meet stack development milestones.

• Port customer workloads, optimize them for deployment, generate reference implementations and evaluate performance.

• Report and present progress timely and effectively.

• Contribute to publications of papers and intellectual properties.

What you will bring:

Minimum:

• MS in Computer Science, Electrical and Computer Engineering, or a related scientific discipline with 10+ year of relevant experience in compute architecture and system design area.

• A problem solver, self-starter, be able to effectively multi-task and simplify complex problems to come up with elegant and efficient solution (no compromise here!)

• 10 or more years of demonstrated experience leading Architecture or Design Development of SoCs.

• Expert knowledge of AI SoC Architecture, requirements, and definition.

• Be able to identify potential architectural issues and design flaws early in the design phase to provide effective solutions and recommendations.

• Experience with CPU, GPU, ASIC and ML accelerator architecture exploration and architectural modeling.

• High proficiency in performance modeling, ranging from simple analytical model to complex cycle accurate performance model and correlation

• Deep, wide and current knowledge in machine learning and modern deep learning is required.

• Hands-on experience with CNN, RNN, Transformer neural network architectures.

Preferred:

• Experience with specialized HW accelerator systems for deep neural network is preferred.

• PhD in Computer Science, Electrical and Computer Engineering, or a related scientific discipline with 10+ year of relevant experience in compute architecture and system design area.

• High proficiency in algorithm analysis, data structure, and Python programming is required. Proficiency with C/C++ programming is preferred.

• Passionate about AI and thriving in a fast-paced and dynamic startup culture.

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Equal Opportunity Employment Policy

d-Matrix is proud to be an equal opportunity workplace and affirmative action employer. We’re 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. Our focus is on hiring teammates with humble expertise, kindness, dedication and a willingness to embrace challenges and learn together every day.

d-Matrix does not accept resumes or candidate submissions from external agencies. We appreciate the interest and effort of recruitment firms, but we kindly request that individual interested in opportunities with d-Matrix apply directly through our official channels. This approach allows us to streamline our hiring processes and maintain a consistent and fair evaluation of al applicants. Thank you for your understanding and cooperation.