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: Senior/Staff SW Engineer (Systems)
What you will do:
The role requires you to be part of the team that helps productize the SW stack for our AI compute engine. As part of the Software team, you will be responsible for the development, enhancement, and maintenance of the next-generation AI Deployment software. You have had past experience working across all aspects of the full stack tool chain and understand the nuances of what it takes to optimize and trade-off various aspects of hardware-software co-design. You are able to build and scale software deliverables in a tight development window. You will work with a team of compiler experts to build out the compiler infrastructure working closely with other software (ML, Systems) and hardware (mixed signal, DSP, CPU) experts in the company.
What you will bring:
Minimum:
Computer Science, Engineering, Math, Physics or related degree with 2+ years of industry software development experience
Strong grasp of system software, data structures, parallel programming , computer architecture basics, and machine learning fundamentals.
Proficient in C/C++/Python development in Linux environment and using standard development tools.
Experience with distributed, high performance software design and implementation.
Self-motivated team player with a strong sense of ownership and leadership.
Preferred:
MS or PhD in Computer Science, Electrical Engineering, or related fields.
Prior startup, small team or incubation experience.
Work experience at a cloud provider or AI compute / sub-system company.
Experience with deep learning frameworks (such as PyTorch, Tensorflow).
Experience with deep learning runtimes (such as ONNX Runtime, TensorRT,…).
Experience with inference servers/model serving frameworks (such as Triton, TFServ, KubeFlow,…).
Experience with distributed systems collectives such as NCCL, OpenMPI.
Experience deploying ML workloads on distributed systems.
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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.
