d-Matrix
Principal Architect, Performance Analysis and Modeling
Santa Clara · Principal
Sponsorship not specifiedDetected 224 days ago
PythonC++CAlgorithmsMachine LearningLLMsHardware DesignResearchCommunicationCollaboration
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Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Principal Architect, Performance Analysis and Modeling
Responsibilities
- This role requires keeping up with the latest research in ML architecture and algorithms and collaborating with different partner teams, including Product, Hardware Design, Compiler, Inference Server, and Kernels
Requirements
- Experience with developing analytical performance models, architecture simulators for performance analysis
Nice to have
- BSEE with 10+ years of industry experience or MSEE preferred with 8+ years of industry experience
Benefits
- Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.)
Company info
- 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.
- Working onsite at our Santa Clara, CA headquarters 3 days per week hybrid.
- Will consider remote in the United States.
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.
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