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:

Santa Clara, Hybrid

Description:

Lead “deep-understanding” R&D initiatives to correlate system performance & utilization observations with ML compiler functionality gaps.

Design incremental cost models, micro-benchmarks and system performance measurement and evaluation systems across multiple platforms (including simulations, emulations, and HIL) for tracking continuously & reliably performance and utilization metrics of an evolving proprietary compiler targeted to be shipped as an external product. Define requirements to instrument compile time and runtime to gather relevant performance and utilization snapshot.

Lead representation of compiler performance tracking & understanding aspects in cross-functional collaborations across Compiler performance optimization, Compiler development, Runtime, System Architecture, and Target Platform teams (simulation, emulation, HIL)

Requirements:

Bachelor’s degree in relevant field

Proficient in modern heterogeneous system level performance evaluation and understanding.

Familiarity with modern ML compiler infrastructures such as TensorRT, MLIR

Familiarity with machine learning frameworks and interfaces like Torch-MLIR, ONNX-MLIR, Caffe, TVM

Passion for a fast-paced 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.