MLIR Compiler Backend Developer, Staff

1 month ago


Old Toronto, Canada d-Matrix Full time

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 Toronto, Canada 3 days per week.

The role: MLIR Compiler Backend Developer, Staff

What you will do:

As part of the Compiler team, you will be responsible for the implementing and testing of the core compiler stack. This includes understanding of standard ML compilation frameworks, intermediate representations, and compiler architecture. You will be working with LLVM/MLIR Compiler frameworks.

What you will bring:

Minimum:

  • BS in Computer Science with a minimum of 5+ years of Industry Experience, MSCS Preferred with 3 years of relevant industry experience.

  • Three years of experience working in compilers.

  • Proficient in C/C++ and Python development.

Preferred:

  • Experience with LLVM • Experience with MLIR.

  • Proficient in C/C++ and Python development in Linux environment and using standard development tools.

  • Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.

  • Experience with a deep learning framework (such as PyTorch, Tensorflow).

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

#LI-DL1

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.

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    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...


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    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...


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