AI Software Architect, Principal
Santa Clara, Ca
Full Time Senior-level / Expert USD 180K - 300K
d-Matrix
d-Matrix delivers the world's most efficient AI computing solutions for generative AI at scaleAt 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:
Hybrid, working onsite at our Santa Clara, CA headquarters 3 days per week.
The role: Principal AI SW Architect
d-Matrix is seeking outstanding software architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on hardware-aware algorithms, deep optimizations, bottleneck analysis for emerging workloads (such as generative inference etc.). Our acceleration philosophy cuts through the system ranging from efficient computing and data movements along with co-design of dataflow and distributed systems manifested in scalable, high performance algorithms.
What you will do:
· As a member of the architecture team, you will contribute to the definition of key software stack components while also feeding forward into the next hardware generation
· This role requires to keep up the latest research in ML architecture and algorithms space, and collaborate with different partner teams including software and hardware engineering
· Your day-to-day work will include (1) mapping machine learning workloads into functional, performant algorithms using d-Matrix architecture (2) proposing new features to enable or accelerate these algorithms, (3) studying the benefits of proposed features with performance models and generating software references
What you will bring:
Minimum:
· MS, PHD, MSEE with 12+ years of experience or PhD with 8+ years of applicable experience
· Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, CPU/GPU kernel development, ML fundamentals (particularly DNNs)
· Programming fluency in C/C++, Python and familiarity with common ML frameworks (e.g. PyTorch) is preferred. Prior experience developing algorithms for GPUs or DSPs is desired
· Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, ICLR, NeurIPS, etc.)
· Self-motivated team player with strong sense of collaboration and initiative
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.
Tags: Architecture Dataflow Distributed Systems Engineering Generative AI GPU ICLR Machine Learning NeurIPS PhD Python PyTorch Research
Perks/benefits: Career development
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