AI Hardware Architect

Santa Clara, Ca

d-Matrix

d-Matrix delivers the world's most efficient AI computing solutions for generative AI at scale

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At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration.

We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution.  Ready to come find your playground? Together, we can help shape the endless possibilities of AI. 

Location:

Working Hybrid at our Santa Clara Headquarters or in our Seattle office or Remote.

AI Hardware Architect

What You Will Do:

The role requires you to be part of the Hardware Architecture team that defines our next generation AI solution. As part of this team, you will be responsible for design space exploration, workload characterization/mapping and ISA design spanning the data plane as well as control plane in the SoC. You will design, model and drive new architectural features to help design next generation hardware. You will evaluate performance of cutting edge AI workloads. You have had past experience working on performance architecture of AI Accelerators 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 architectural solutions in a tight development window. You will work with a team of hardware architects to build the architecture from strawman to detailed specification and work closely with other software (ML, Systems, Compiler) and hardware (mixed signal, DSP, CPU) experts in the company.

 

What You Will Bring:

Minimum

  • PhD, Computer Science, Engineering or related degree + 15 or more years of industry experience.

  • Strong grasp of Computer architecture, HW/SW Co-design, digital design, and machine learning fundamentals.

  • Experience with Data parallel architectures and SIMD/Vector extensions.

  • Experience with workload characterization and competitive analysis.

  • Experience with performance modeling, analysis and correlation (w/ RTL) of GPU/AI Accelerator architectures.

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

  • Self-motivated team player with a strong sense of ownership and leadership.

Preferred:

  • Prior startup, small team or incubation experience.

  • Work experience at a cloud provider or AI compute / sub-system company.

  • Experience with ISA design and architecture specification.

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Computer Science Engineering Generative AI GPU Linux Machine Learning PhD Python SIMD

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States

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